Secure & Private AI Facebook Scholarship-KeyStone project
- Follow Udacity Git Commit Message Style Guide: https://udacity.github.io/git-styleguide/
Gather a group of enthusiasts and engage in a group-project that would be based on your learnings in the program. (need not be restricted to the program learnings)
Collaborators:
| Name | Slack Name |
|---|---|
| Sarah Majors | Sarah Majors |
| Harkirat Singh | Harkirat |
| Hsin Wen Chang | Bearbear |
| Halwai Aftab Hasan | Halwai Aftab Hasan |
Finish audit Securing Federated Learning and Encrypted Deep Learning
Studying progress in Introduction to Deep learning with PyTorch reach to 99%
continue read PySyft repository and following great refrences:
- https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf
- https://arxiv.org/pdf/1607.00133.pdf
- Finished https://www.youtube.com/watch?v=jYQoQfFzJRw
- Join 1st Virtual meetup https://www.facebook.com/groups/secureandprivateai/permalink/806171133117474/?hc_location=ufi
Working on Robotic inference project, applied transfer learning skill with VGG16 on the supplied dataset.
Learn use overleaf and Visual Studio code write and compile LaTex in Robotic inference project write up report:
Complete 6.4 and 6.5 of Udacity course. Also make a pacman package for PySyft since it is not in the AUR yet.
Pledge Taken
Finish Lesson 5 - Introducing Local and Global Differential Privacy
Finish Mumbai Meet-Up plan, day and Time with Jyoti, Shubhangi, Avi ,Cibaca, Hitoishi and Amar
- Mumbai meet-up planning with the mumbai team, fix with place , day and time successfully with Agenda
- Create Event on FB page Successfully. https://www.facebook.com/events/889357788169509/
- discuss group meet up with Hsin wen chang about our meet-up this sunday
- Rewatching SQL Summer Camp: Getting started with SQL | Kaggle https://www.youtube.com/watch?v=jYQoQfFzJRw&feature=youtu.be&utm_medium=email&utm_source=intercom&utm_campaign=sql-summer-camp
- Excercise Complete https://www.kaggle.com/ahkhalwai55/exercise-getting-started-with-sql-and-bigquery
- Rewatch lesson 3 Introducing to Differential Privacy.
- Reading https://arxiv.org/pdf/1607.00133.pdf.
- Watching https://www.youtube.com/watch?v=VljQui5es7g.
- Register https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation competition.
- Working on Robotic inference project, applied transfer learning skill with AlexNet on the supplied dataset.
- Created pacman package for PySyft
- Finished Unit 6 Differential Privacy for Deep Learning
- Rewatching Lesson 4 Evaluating The Privacy of a Function and Introduction to Federated Learning.
- Join SPAISCF Mumbai Virtual Meet-Up.
- Continue learning LaTex to write Robotics inference project writeup report.
- Reading https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf for 30 min
- Reading https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation/discussion
- Reading https://www.kaggle.com/c/champs-scalar-coupling/discussion
- Reading https://www.kaggle.com/c/recognizing-faces-in-the-wild/discussion
- Organised and attended Mumbai Meetup to have amazing discussions with fellow scholars
SPAIC Mumbai Meetup - 29-06-19
Local Meetup
To be planned every two/three weeks 5 members from Mumbai could join for organizing this activity Time, location, agenda, activities to be decided for each meetup Location should be such that we can have technical discussion as well as host virtual meetup for members who cannot join personally (we faced this issue today) Organiser could conduct activities and agenda could be like discussion on one topic from course, recent initiatives by members, time based fun games related to course,etc
Virtual meetup
To be planned every week 3 members from Mumbai could join for organizing this activity Time, location, agenda, activities to be decided for each meetup Organiser could conduct activities and agenda could be like discussion on one topic from course, recent initiatives by members, time based fun games related to course,etc
Trello board for all mumbai meetup activities
We are planning to create a trello board for listing for task done by mumbai Members as there is no specific channel. This may help us to be aware of all activities at one place and we can share screenshot of this list in 60dayofudacity
Study buddy groups
Idea is to start study buddy group for all mumbai members which will help all of us with course completion, learning and participate in this challenge actively. 2 members from mumbai can pair up with each other and search 2 members from slack (who are not in mumbai) for studying together. Apart from course lessons, they could get involved in some project, activities/topic discussion/sessions that can be shared during mumbai meetups (Definitely we will have only mumbai members for local meetups so they can share their work as a representative from their group). Each group task/initiative will be managed using trello boards so that others can give suggestions or join any task they are interested into.
Initiatives
Apart from the above activities, it would be good if we take part in slack initiatives already in progress or new initiatives we can think during meetup or slack channel to have a better learning and been active.
Above initiatives are just a suggestion and we would need your input/feedback/ideas from all of you.
- Completed Lessons 7.1 - 7.6
- Fixed the package for pysyft to include all necessary dependencies, which also included making other packages like tf-encrypted
-
WATCH SQL Summer Camp: Select, From and Where| Kaggle https://www.youtube.com/watch?v=VljQui5es7g&feature=youtu.be&utm_medium=email&utm_source=intercom&utm_campaign=sql-summer-camp
-
Practice SQL Summer Camp: Select, From and Where| Kaggle Excercise https://www.kaggle.com/ahkhalwai55/exercise-select-from-where
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Start Intro to Deep Learning with PyTorch Introduction Today
-
Fixing issue on Pytorch with @Bearbear #1
-
Reading https://www.kaggle.com/uciml/sms-spam-collection-dataset/kernels
-
Reading https://www.kaggle.com/uciml/sms-spam-collection-dataset/discussion
- Rewatching Lesson 7 Federated Learning and play with Section_1_Differential_Privacy.ipynb :D!
- Continue writing Robotics inference project writeup report with LaTex, Applied transfer learning skill training image data sets on NVIDIA DIGITS with GoogLeNet.
- Reading https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf for 30 min to 2.3 Formalizing differential privacy
- Reading https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation/discussion
- Reading https://www.kaggle.com/c/champs-scalar-coupling/discussion
- Reading https://www.kaggle.com/c/recognizing-faces-in-the-wild/discussion
- Rewatching Lesson 7 Federated Learning and play with Section_1_Differential_Privacy.ipynb :D!
- Continue writing Robotics inference project writeup report with LaTeX.
- Reading https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf for 30 min to 2.3 Formalizing differential privacy.
- Reading https://www.kaggle.com/c/aerial-cactus-identification/discussion.
- Learning and writing fastai https://www.fast.ai/.
- Watching Kaggle SQL Summer Camp Day 3 https://www.youtube.com/watch?v=dV74IWUkI8Q
- Start my day with beautifull Introduction to Neural Network, i completed up Lesson 2.10
- Then i met Awesome indian guy Soumith Chintala who created Pytorch <3 which is i completed lesson 3 in intro to deeplearning with pytorch course, What a story of him :)
- Mumbai Virtual meetup by IST 9 pm ... :)
- Finish Lesson 7.5 - 7.11
- Take papers club quiz
- Read next 15 pages of Deep Learning by Goodfellow (Part of chapter 5)
- Rewatch Lesson 4 - Introduction to Pytroch, of course intro to deeplearning with pytorch
-
Really happy to have our meetup featured in Udacity's mail! Along with @Halwai Aftab Hasan @vivek @amitrai @Ankit Dubey @Mushrifah Hasan @bhavz @sarthakahir @cibaca @Shivam Raisharma
-
I Encourage @Bearbear @Sarah Majors @April D @Maria Jose Molina @Gabriela Urquieta @Stark @Samuela Anastasi
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Discussed about study group with @Aniket Thomas @Archit @Deepak Kumar @Rakshit Naidu @Harsh @Sankalp Dayal @Shubhendu Mishra about kaggle challenge based group
-
Reading Kaggle with The Beginner’s Guide to Kaggle https://elitedatascience.com/beginner-kaggle
- Finished Intro to Deep Learning with PyTorch.
- Reading Benchmark Analysis of Representative Deep Neural Network Architectures.
- Reading The Algorithmic Foundations of Differential Privacy to 3.1 Useful probabilistic tools.
- Rewatching lecture Securing Federated Learning.
- Submit Robotic Inference Project for 1st review before deadline.
- Reading Deep Learning with Differential Privacy
- Studying and modified fastAI code, implement DenseNet-201.
- Watched lesson 7.11 and 7.12, didn't do the chapter 7 final project yet because the instructions were unclear.
- Started looking at tutorials for the T-Shirt project, whose survey just got released today! Woo
- Organizing Chapter 2 notes for Deep Learning by Goodfellow for the discussion tomorrow
- Played with the hyperparameter tuning website for fun Tensorflow Playground
- Reading The Algorithmic Foundations of Differential Privacy to 3.3 The laplace mechanism.
- Reading https://pjreddie.com/darknet/yolo/
- Reading http://cs231n.github.io/classification/
- Reading https://towardsdatascience.com/deep-learning-for-image-classification-why-its-challenging-where-we-ve-been-and-what-s-next-93b56948fcef
- Reading https://blog.paralleldots.com/data-science/research-papers-image-classification/
- Reading https://openai.com/blog/adversarial-example-research/
- Reading https://blog.xix.ai/how-adversarial-attacks-work-87495b81da2d
- Rewatching lecture Securing Federated Learning again.
- Passed Robotic Inference project review https://github.com/Polarbeargo/RoboND-Robotic-Inference-Project/blob/master/main.pdf?fbclid=IwAR0emj6swu48eOdsAUyPcOLZ1ibte4ew4WjcU_luBZbuBVz96vpgrRnIftc
- Learning and implement fastai https://www.fast.ai/.
- Rewatch introducing differencial privacy
- Attended virtual meetup with @cibaca and others
- Completed lesson 8.1 - 8.4
- Reading The Algorithmic Foundations of Differential Privacy to 3.3 The laplace mechanism.
- Reading https://arxiv.org/pdf/1607.00133.pdf
- Learning, watching and implement fastai https://www.fast.ai/.
- Rewatching lecture Securing Federated Learning and Encrypted Deep Learning.
- Finshed run all notebook from private AI and PySyft
- Reading https://www.kaggle.com/c/aerial-cactus-identification/discussion.
- Reading Lesson Kalman Filter and complete quiz in Robotic Software Engineer Nanodegree program.
- Complete Lesson 4 Evaluating The Privacy of a Function
- Clearing My Doubt on Evaluating The Privacy of a Function in ##l3_eval_privacy_func
- Start Reading The Algorithmic Foundations of Differential Privacy
- Start Reading Kaggle Competition with Kernel and Discussion https://www.kaggle.com/c/aerial-cactus-identification/
- Completed lessons 8.4 - 8.9
- Read a few more pages of Deep Learning by Goodfellow
- Worked on an OpenCV implementation of neural style transfer for the t-shirt group using a [PyImageSearch] (https://www.pyimagesearch.com/2018/08/27/neural-style-transfer-with-opencv/) tutorial
- Learning, watching and implement fastai with ResNet152 https://www.fast.ai/.
- Rewatching lecture Encrypted Deep Learning.
- Reading Lesson Kalman Filter to 3.15 design of multidimensional KF and complete quiz in Robotic Software Engineer Nanodegree program.
- Reading https://www.kaggle.com/c/aerial-cactus-identification/discussion.
- Reading https://arxiv.org/pdf/1607.00133.pdf
- Reading https://docs.ufpr.br/~danielsantos/ProbabilisticRobotics.pdf to Chapter 3 Gaussian Filters
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watch SQL Summer Camp: Group By, Having and Count| Kaggle Day 3 https://www.youtube.com/watch?v=dV74IWUkI8Q&feature=youtu.be&utm_medium=email&utm_source=intercom&utm_campaign=sql-summer-camp
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Practices Day 3 Complete https://www.kaggle.com/ahkhalwai55/exercise-group-by-having-count
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Complete Lesson 5 Introducing Local and Global Differential Privacy
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Reading Kaggle Competition with Kernel and Discussion https://www.kaggle.com/c/aerial-cactus-identification/
- Took it easy today and only worked on the OpenCV implementation of neural style transfer for the t-shirt group
- Organized and recruited for the Deep Learning book group, formerly Puja's book group
- Reading The Algorithmic Foundations of Differential Privacy to Definition 3.4 (The Exponential Mechanism).
- Rewatching and implemented lecture Deep learning with PyTorch.
- Learning, watching and implement fastai https://www.fast.ai/.
- Reading Robotic Software Engineer Nanodegree program Lesson Monte Carlo localization to 12.5 Bayes Filtering and complete quiz.
- Reading https://arxiv.org/pdf/1607.00133.pdf to Moments accountant.
- Reading Kaggle Competition with Kernel and Discussion https://www.kaggle.com/c/aerial-cactus-identification/
- Had a Virtual Meetup for Study Group Mumbai with @cibaca @Shivam Raisharma @Rohit Sahoo @vivek @bhavz @Krunal @Ankit Dubey @Parth Hiren Shah @Sunny Dsouza @amitrai @Mohammad Hasnain Rajan @Mushrifah Hasan @alpesh
- Create Study plan for Mumbai group along with discussion on further tasks and initiatives for #sg_mumbai
- I thought to take mumbai #sg_mumbai on the top of the world thats why i started guest appearances scholars from every country who are scholars and known for there country so i started with india first which w all know @Arka is next big things which i analysis his profile and works 🙂 thanks a lot @Arka for joining with us , soon i will call more great scholar from different country for interaction with mumbai, our aim is to build good society for all ..
i would like u guys also take initiative like this way #sg_bangalore #sg_pune #sg_clan #sg_spaic-kagglers
- Completed lessons 9.1-9.5
- Reading The Algorithmic Foundations of Differential Privacy to Definition 3.5 Composition theorems.
- Rewatching and implemented lecture Deep learning with PyTorch and Introducing with Diffrential Privacy.
- Learning, watching and implement fastai https://www.fast.ai/.
- Reading Robotic Software Engineer Nanodegree program Lesson Build Monte Carlo localization with C++ to 13.5 Noise and implemented particle filter.
- Reading https://arxiv.org/pdf/1607.00133.pdf to section IMPLEMENTATION searching differentially private SGD algorithms in TensorFlow https://github.com/tensorflow/models.
- Implemented a little test to learn which one of GlobalMaxPool2D or GlobalAvgPool2D work best on Northeastern SMILE Lab - Recognizing Faces in the Wild https://www.kaggle.com/c/recognizing-faces-in-the-wild/discussion/92454#latest-569281.
- Complete lesson 6 - Differential Privacy for DeepLearning
- I create a poll for better development for all and because of @Bearbear I can't be here :) so thxs a lot :)
PollyAPP [9:32 PM]
we Both me and @cibaca planning for this initiative, lets me know yours thoughts
Week wise Study on particular chapter from 2 courses, Every week we work on particular chapter from each courses courses like SPAIF or Intro to deeplearning with pytorch
example
week 1:- (7 - 14 july)
-
Introduction to Neural Network
-
Deeplearning with pytorch
similarly
week 2 - (14 - 21 july) ... ... ... week 7 - (18 - 25 Aug)
-
security federated learning
-
Encrypted Deeplearning
Plan to execute in week
- choose study partner
- spend 1 hour a day
- chapter base project u have complete every week so that it will help in practical experiences
- research paper (required provided regarding chapter base)
- we will work @Arka project which is going on kaggle so that we will learn a lot, how he uses research paper and all to improve accuracy and many things.
Advantage :
- easy learning
- implement learning of outsider and learning skill of them, how they work
i want everyone should complete something by the end of this courses or something u achieve 🙂"
Start This Initiative, YES
▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 100% (12)
@alpesh, @Praveer, @sarthakahir, @Pawan, @Shivam Raisharma, @Sunny Dsouza, @Roshan Chauhan, @cibaca, @Krunal, @amitrai, @Hitoishi Das, @Halwai Aftab Hasan
Don't Start This Initiative, No
0%
Total votes
12
Comments
:speech_balloon: @cibaca: @channel - Please reply to this poll and share your views in this thread. It would be started with this week
:speech_balloon: @alpesh: well as I a beginner I was looking for such an opportunity :star-struck:
- Raeding kernel or Discussion https://www.kaggle.com/c/aerial-cactus-identification
- Reading The Algorithmic Foundations of Differential Privacy (https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf)
- Start Reading Deep Learning with Differential Privacy (https://arxiv.org/pdf/1607.00133.pdf)
- Finished watching all videos for this course; I haven't started the keystone project yet - still thinking of a good and worthy project.
- Met up with the NLP group online.
- The t-shirt project was released today!
- Started reading section 5.5 in Deep Learning by Goodfellow
- Rewatching lecture Introducing with Differential Privacy and Evaluating the privacy of a function.
- Learning, watching and implement fastai https://www.fast.ai/.
- Reading https://arxiv.org/pdf/1607.00133.pdf to section 5.2 MNIST Baseline model.
- Reading http://robots.stanford.edu/papers/thrun.robust-mcl.pdf to Monte Carlo Localization 2.1 Bayes Filtering.
- Test run Android Worker https://github.com/OpenMined/AndroidWorker.
- Prepare participating Study group 1st meetup.
- Implemented Kaggle SQL BigQuery summer camp https://www.kaggle.com/learn/intro-to-sql to 10. Exercise: As & With.
- Reading and implementing Robotic Software Engineer Nanodegree program Lesson 13 Build Monte Carlo localization with C++ to 13.11 Graphing and having fun time with Lesson 11 Lab Kalman filter turtlebot_gazebo package https://github.com/turtlebot/turtlebot_simulator and Extend Kalman filter package https://github.com/udacity/robot_pose_ekf learn ROS building catkin workspace:
| enviroment perception | enviroment |
|---|---|
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| turtlebot right | turtlebot front |
|---|---|
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Day start with kaggle https://www.kaggle.com/c/aerial-cactus-identification i thought lets work with transfer learning and here we with kaggle master @Bearbear help me use to a different type of model
- #sg_mumbai End the study plan poll with 17 people who agrees to start initiative without any disagree, its was a great result for me 🙂
- Kaggle kernel fork issue solved by @Bearbear thxs a lot 🙂
- start reading other kernels and discussion of https://www.kaggle.com/c/aerial-cactus-identification which help me for create a upgrade version than Alexander Milekhin and Hsin Wen Chang @Bearbear.
- Attended Virtual Meetup with @Bearbear, and her vision regarding helping udacity community 🙂
- then i use AlexNet, VGG-19 with batch normalization, ResNet-152, SqueezeNet 1.1, Densenet-201 and i found 100 % Accuracy with 149 rank:slightly_smiling_face: in https://www.kaggle.com/c/aerial-cactus-identification 🙂 🙂 Thank you guys for supports 🙂 @Bearbear @Arka @Stark @Sarah Majors @Harkirat ❤️
- i encourage @Arka @Stark @Manisha #sg_clan whole clan shout out 🙂 #60daysofudacity
| 1st Study group meet up | 1st Study group meet up |
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| 1st Study group meet up | 1st Study group meet up |
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- Started planning out my kestone project. I would like to use the tutorial on OpenMined for federated learning on raspberry pis as a base and build on that. Unfortunately, I will have to wait to start that until I am a little further into my Geology course. It started today and I need to write a discussion post on it Wednesday. That class should ease up in a couple weeks when I get into it and can do much of the reading on weekends.
- Rewatching lecture Introducing local and global Differential Privacy.
- Continue learning, watching and implement fastai https://www.fast.ai/.
- Reading https://arxiv.org/pdf/1607.00133.pdf to section 5.2 MNIST PCA projection.
- Continue reading http://robots.stanford.edu/papers/thrun.robust-mcl.pdf to Monte Carlo Localization 2.1 Bayes Filtering.
- Continue reading and implementing Robotic Software Engineer Nanodegree program Lesson 13 Build Monte Carlo localization with C++ to 13.11 Graphing and having fun time practice and play with Lesson 11 Lab Kalman filter turtlebot_gazebo package https://github.com/turtlebot/turtlebot_simulator, Extend Kalman filter package https://github.com/udacity/robot_pose_ekf , Odometry to Trajectory Package https://github.com/udacity/odom_to_trajectory, TurtleBot Teleop Package https://github.com/turtlebot/turtlebot and Rviz Package to 11.10 Main launch learn ROS and building catkin workspace. Start reading project: Where am I.
- Reading The Algorithmic Foundations of Differential Privacy to Definition 3.5.3 Laplace versus Gauss.
- Collecting resources for #sg_mumbai study plan like research paper and projects for week 1 chapter: neural network with pytroch
- create a poll for #sg_mumbai whether which chapter you would like to start in this week
- after successful completion of https://www.kaggle.com/c/aerial-cactus-identification with 100% accuracy due to high energy now so i start with new kaggle competition https://www.kaggle.com/c/aptos2019-blindness-detection with reading discussion and kernel and collecting required resource for this competition
- organize text meet-up with #sg_mumbai with negative response of my team we create 2 more polls for them to decide whether they are interested or not with our activities
- I encourage my very close friend @rinki nag as well as @cibaca
- I made a first pass through the GAN paper for paper club. I need to go through it again to understand the math.
- Rewatching lecture Introducing local and global Differential Privacy to 5.4 Varying amounts of noise.
- Continue learning, watching and implement fastai https://www.fast.ai/.
- Reading AI for Trading Nanodegree Program to lesson four Market Mechanics schedule time with my mentor for 1st 1 vs 1 call.
- Start organising paper references from self-driving Car Engineer Nanodegree Program to Artificial Intelligence Nanodegree Program to Flying Car Nanodegree Program then Robotics Software Engineer Nanodegree Program and Secure and Private AI Scholarship Challenge Nanodegree Program into a repository to memorise my journey start from self-driving Car Engineer Nanodegree Program extend the love and knowledge from Udacity reviewer and my mentors Donald, David and Christopher who encourage and guide me through this brightful and real fun journey. Learn the heart from Sir Sebastian Thrun and Sir David J. Malan will contribute this repository with All Scholarship classmates and CS50 study group by this Friday.
- Rewatching lecture Introducing with Differential Privacy and Evaluating the privacy of a function.
- Start differential privacy implementing into real world project so i choose MNIST dataset by the help of https://github.com/dashitoishi23/PATE-Analysis-on-DL-Models/blob/master/PATE_Analysis_on_Deep_Learning_Models.ipynb
- Reading The Algorithmic Foundations of Differential Privacy
- Read the next few subsections of Chapter 5.5 of Deep Learning by Goodfellow
- Read part of the a Nature article Unsupervised Word Embeddings Capture Latent Knowledge From Materials Science Literature
- Also spent time with the t-shirt group planning committee preparing for the live stream and AMA on Friday
- Still Rewatching lecture Introducing local and global Differential Privacy to 5.4 Varying amounts of noise.
- Reading The Algorithmic Foundations of Differential Privacy to Definition 3.6 The sparse vector technique.
- Continue learning, watching and implement fastai https://www.fast.ai/.
- Continue organizing paper references from nanodegree programs into a repository to memorize my journey starts from self-driving Car Engineer Nanodegree Program extend the love and knowledge from Udacity reviewer and my mentors Donald, David, and Christopher who encourage and guide me through this brightful and really fun journey. Learn the heart from Sir Sebastian Thrun, Sir David Silver, and Sir David J. Malan. My thousands appreciation to Udacity team and Slack community like Sir @akshit.udacity, Sir Michael Virgo Sir Tucker will contribute this repository to all Scholarship classmates and CS50 study group by this Friday.
- Reading AI for Trading Nanodegree Program to lesson 4.3 Better Learning - By Sleeping and finish 1st 1 vs 1 zoom meeting with my mentor Pranjal who share the knowledge and wisdom of lesson 4.6 OHLC: Open, High, Low, Close and project 6: sentiment analysis with neural network also provide me this URL https://thetie.io/ to learn and dive in further which really help ease my nerves a lot:)!!
- Continue reading Robotic Software Engineer Nanodegree program project where am I.
- Continue rereading http://robots.stanford.edu/papers/thrun.robust-mcl.pdf to Monte Carlo Localization 2.1 Bayes Filtering.
- Still working on Differential privacy project on MNIST dataset by the help of https://github.com/dashitoishi23/PATE-Analysis-on-DL-Models/blob/master/PATE_Analysis_on_Deep_Learning_Models.ipynb
- Reading The Algorithmic Foundations of Differential Privacy
- Soon i will create a respo on differential privacy only
- Start with Federated Learning 7.1, 7.2 , 7.3 and 70% course is completed :)
i admire and get lots of inspiration from @Bearbear and her vision for AI community is increadible, and its a great opportunity for me to learn something under her and like she is doing , i also dominating like her :)
- Read a few more pages of Deep Learning 5.5 - going slowly. I'll get through chapter 5 some day
- Still rereading lecture Introducing local and global Differential Privacy to 5.6 Varying amounts of noise - 5.8 Create a Differentially Private Query amounts.
- Reading AI for Trading Nanodegree Program to lesson 5.8 Survivor Bias.
- Organizing paper references from nanodegree programs into a repository start from Aftab ask me question about he want to read more papers relate to Artificial Intelligence and neural network and I know from my heart that it's time to organizing and right thing to do to help classmates for their future path. Share this repository to all Scholarship classmates and CS50 study group by this Friday https://github.com/Polarbeargo/The-love-I-receive-from-Udacity-reviewer-resources/blob/master/README.md.
- Complete Lesson 7 - Federated Learning and overall all 80% completion
- watched how federated Learning work on cell phones https://www.youtube.com/watch?v=gbRJPa9d-VU
- watched Google I/O on federated Learning https://www.youtube.com/watch?v=89BGjQYA0uE
- poster story of federated learning by google https://federated.withgoogle.com/
- Real world project on Pysyft Android given by @sarah or @Bearbear thxs a lot for that https://towardsdatascience.com/pysyft-android-b28da47a767e
- one more project by @Bearbear https://blog.openmined.org/federated-learning-of-a-rnn-on-raspberry-pis/
I Encourage new Mumbai members @Diksha Verma @falconArrow big shout out for #sg_mumbai #60daysofudacity
- Coordinated with the t-shirt project planning committee to create a video to lauch the competition officially. It covers the scope, purpose and deadlines of the competition as well as walks through a GAN notebook to help people get started.
- Reading AI for Trading Nanodegree Program to lesson 7.9 Statistical Analysis and project Momemtum Trading.
- Rereading Lecture Federated Learning.
- Follow team_grid mari-linhares's guidance setup Grid and PySyft, test run Android worker and Socket Bob.ipynb continue set up Mini project topic Federated Learning developing environment:
| AndoidWorker | SocketBob |
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- 2st Study group listen and share thought of Mini project topic Federated Learning see Sarah Majors in person:)!
- Presented demo Android worker with SocketBob and explained the tensor message protocol base on https://towardsdatascience.com/pysyft-android-b28da47a767e with the study group member Sarah and Aftab. Create Mini project repo and push a pull and run version of the demo to the repo:
| 2st Study group meet up | 2st Study group meet up |
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| 2st Study group meet up | 2st Study group meet up |
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i already knew that today is my hectic day and its happened
- Day start with Hackathon organize by #sg_hackathon-orgnizrs team which many scholars participate in this 2 days of hackathon so my team name is Hasan & Hasan and teammates are @cibaca @Shivam Raisharma @Hitoishi Das so big shout out to #sg_hackathon-orgnizrs https://www.kaggle.com/spaics/datasets
- Reading application and articles on federated learning for the presenation in front of my team @Bearbear @Sarah Majors @Harkirat and preparing on this statement " I m thinking about what if we choose a real world project by using this course its help for the society and community as well " https://blog.openmined.org/upgrade-to-federated-learning-in-10-lines/ https://www.youtube.com/watch?v=89BGjQYA0uE https://www.youtube.com/watch?v=gbRJPa9d-VU https://towardsdatascience.com/pysyft-android-b28da47a767e https://github.com/Polarbeargo/AndroidWorker
- Team Second Virtual Meetup held by Time IST 7PM OR TAIWAN 9.30 PM OR USA 9.30 AM we start with talking about federated learning then we move to real world project on federated learning on pysyft android https://towardsdatascience.com/pysyft-android-b28da47a767e by the guidences of @Bearbear and create a respo for that as well.
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- Organize and Attend a great virtual meetup with amazing buddies from #sg_mumbai. Discussed about upcoming projects, coursework, local meetup, study partners and also other channel intiatives coming soon!! Had a great meetup with these guys @cibaca @Halwai Aftab Hasan @Shivam Raisharma @Parth Hiren Shah @Praveer @bhavz @alpesh @Mushrifah Hasan
| Mumbai Virtual Meet Up |
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- Talked with this group in a virtual meet up to discuss the project that @Bearbear has started for us by creating a Kotlin mobile app so that we can work with PySyft and look at the difference of using Gaussian and Laplacian noise.
Rewatching lecture Federated Learning and Securing Federated Learning.
- Continue reading The Algorithmic Foundations of Differential Privacy Definition 3.6 The sparse vector technique.
- Continue to examine my thought about Group Mini project Federated Learning.
- Answer other data scientist's question on Kaggle.
- Reading Robotics Software Nanodegree program project where am I and play with Gazebo: Hello, world!
- Catch up AI for trading Nanodegree program rewatching Statistical Analysis finished implementing project Trading with Momentum prepare to get back to implement the quiz and rereading lecture material.
Working on the #sg_hackathon-orgnizrs hackathon along with @Hitoishi Das @Shivam Raisharma and @cibaca ,we early on reached 90 and we looking for more better version of us.... https://www.kaggle.com/spaics/hackathon-blossom-flower-classification
- Chatted with the people in the dl-goodfellows channel about chapters 1 and 2
- Rearranged the data I have on my active hard drive and my backup server to make room for my new projects.
- Downloaded and built Android Studio
- Late Night( After 1 am Indian Time) fun with models and parameter of the model for hackathon competition(Team), we reached to the 96 % on the training set but we don't satisfy with our model so due to take more time on training the train set with commit, we will not able to generate good model ... and competition submission time is (5.30 AM Indian Time).
- Back to mini project on federated Learning which is given to me by @Bearbear , so i start with prerequisite things which is available here https://towardsdatascience.com/pysyft-android-b28da47a767e so i start with download Android studio were i found this free course. https://classroom.udacity.com/courses/ud808
- Complete Udacity Free Course - Installing Android Studio where i learned how to install and write Hello world using mobile phone. :) https://classroom.udacity.com/courses/ud808
- Looking forward to complete other prerequisite project things which is base on federated learning using Android.
- Restart watching Neural network and looking forward to get hand on practices with neural network theory so that my foundation will become strong. :)
- Attended Awesome seminar by Robert. Thanks to Udacity @akshit.udacity@Palak.Udacity for arranging this session.
- Repeatedly watching lecture Federated Learning, Securing Federated Learning and Encrypted Deep Learning to lesson 9.3 Encrypted Computation in PySyft.
- Rereading article https://towardsdatascience.com/pysyft-android-b28da47a767e
- Studying and implementing Robotic Software Engineer Nanodegree program project where am I to section Robot Model: Basic Setup and lesson 15 Introduction to Mapping and SLAM.
- Rewatching Flying car Nanodegree program lesson 1 planning as search.
- Continue to examine my thought about Group Mini project Federated Learning.
- Attended Webinar AMA with Robert Wagner learned a lot from Robert :)!
- Attended the livestream from Robert Wagner
- Got my Android Studio up and running and almost have @Bearbear's app running on it, but ran out of time to finish
- Repeatedly watching lecture Federated Learning, Securing Federated Learning and Encrypted Deep Learning.
- Watching Robotic Software Engineer Nanodegree program to Lesson 16 occupancy Grid Mapping to section 5 Posterior Probability.
- Continue to examine my thought about Group Mini project.
- Continue reading The Algorithmic Foundations of Differential Privacy Definition 3.6 The sparse vector technique.
- Reading AI for Trading Nanodegree Program project Trading with Momentum review from the reviewer and I love this review very much which helps me familiar a lot of vocabulary and knowledge in Statistics.
- I Need deep sleep:).
- Rewatch Awesome seminar by Robert. Thanks to Udacity @akshit.udacity@Palak.Udacity for arranging this session. https://www.youtube.com/watch?v=9D_jxOMZmRI
- Final Submit the kernel to the #sg_hackathon-orgnizrs and waiting the competition results :) and thxs to entire team of #sg_hackathon-orgnizrs :) we both work at mid night and solving each other issue and query :).
- Start discussing with @Harkirat on " How to start contributing to open source " as well as he help me in career guidence regarding field interest and how to grab it :).
- So i thought that why not others also have career track issue so that i create a poll for #sg_mumbai called " Career Path Partner" were they can choose partner basis on field wise and they live in mumbai so they can work together on the same field interest.
- Example:- if a guy have interest in Computer Vision and Another guy also have same field interest so both can work or talk on same field interest or even local language is advantage for better understanding. https://secureprivataischolar.slack.com/archives/CL7FJMJGP/p1563275784015000
- Back to my Group mini project and its not easy for me to alone were i don't know how to use android studio so i back to the project page https://towardsdatascience.com/pysyft-android-b28da47a767e and try to follow there steps so i come to the conclusion that i need to read the github repository again so i start reading the repository https://github.com/OpenMined/AndroidWorker.
- Rachel is back <3, watch her on Youtube Kaggle Channelon topic - SQL Summer Camp: Order By, Extract and Dates | Kaggle. https://www.youtube.com/watch?v=jEdgQ-RVmXw
- Encourage my favorite person and bit worry when I talk to her @rinki nag and still reason to here :) or @Nishant Keni.
- Some Keypoint that motivate and give direction to me which i receive from others and this will help in future as well " You have a lot of need to work on and only persistence and interest can take you further away " - @Bearbear Hsin-Wen Chang.
- Received my new Raspberry Pi 4s for the federated learning on raspberry pi project, but forgot to order micro SD cards to go with it. Have those coming in, so hopefully I will get to start that this weekend.
- Worked more on Android Studio
- Repeatedly watching lecture Federated Learning, Securing Federated Learning and Encrypted Deep Learning.
- Watching https://course.fast.ai/videos/?lesson=3
- Reading https://machinelearningmastery.com/statistical-hypothesis-tests/
- Reading https://stats.idre.ucla.edu/other/mult-pkg/faq/general/faq-what-are-the-differences-between-one-tailed-and-two-tailed-tests/
- Sign up https://www.kaggle.com/c/open-images-2019-object-detection competition, Team up with Harkirat Singh very appreciate his invitation, we can have good time together he named our team name :)!
- Reading https://www.datacamp.com/community/tutorials/finance-python-trading
- I Start my day with beautiful Style Transfer from intro to deeplearning with pytorch course, i start getting admire when the instructor start playing with content image and target image where i fall in love with that part
- After complete the whole style transfer course i open my colab and start working with it using different content (own or personal) images with applying different style of images, it so cool to play with images and having fun with friends images.
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- Finally most exciting part of night is rachel is back on YouTube kaggle SQL Summer Camp: As and With | Kaggle https://www.youtube.com/watch?v=Hk3OK2G5U5I <3
| Live Streaming Rachel <3 on YouTube Kaggle SQL Summer Camp: As and With |
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- Watched NLP fast.ai video 1
- Participated in Papers Club GAN discussion
- Figured out what I was doing wrong with Android Studio - just in the wrong repo... Oof. Need to finish, but needed to make more aur packages and needed sleep to do that.
- Continue reading The Algorithmic Foundations of Differential Privacy 3.7 Bibliographic notes.
- Reading lecture 9 Encrypted Deep learning for 30 min.
- Rewatching and implementing Robotic Software Engineer Nanodegree program lecture Kalman filter and quiz.
- Continue reading project where am I to RViz Integration.
- Rewatching Flying Car Nanodegree Program Lesson 3 Extend Kalman filter to 3.12 Kalman predict organized Intel aero attitude estimation gif and video record from Intel RGB-D camera.
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- Continue reading AI for Trading Nanodegree Program project Trading with Momentum review references.
- Continue to examine thoughts about Group Mini project.
- Attend live SQL Summer Camp: Joining Data | Kaggle on YouTube. https://www.youtube.com/watch?v=_ERmqiYnrNs
- Didn't do too much today. Just picked up the SD cards for the raspberry pis for the pytorch robotics project
- Watching Robotic Software Engineer Nanodegree program lesson 16 Occupancy Grid Mapping to 16.7 Computing the Posterior.
- Implementing Robotic Software Engineer Nanodegree program project where am I to Localization: Map.
- 1 Vs 1 call with AI for Trading Nanodegree Program mentor Pranjal. He taught me, Fundamental Analysis use metrics like Sales Per Share, Earnings Per Share(EPS), Dividends Per Share to capture the health of the company. And we can use Statistical Analysis perform a t-test on the sample of portfolio returns to analysis alpha performance. First time have a photo with my mentor:D!
- Continue reading The Algorithmic Foundations of Differential Privacy 3.7 Bibliographic notes.
- Reading https://arxiv.org/pdf/1607.00133.pdf section 5.2 MNIST PCA projection.
- Continue setup developing group mini project.
- Started Recurrent Neural Network at OIntro to deeplearning with pytorch
- Complete the lesson of and Enjoy Recurrent Neural Network a lot by recalling Alpha zero(Using RNN) beat Chess Computer Engine Champion :)
- Reading Research Paper Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm https://arxiv.org/pdf/1712.01815.pdf
- Reading Article Mastering the game of Go without human knowledge https://www.nature.com/articles/nature24270.epdf?author_access_token=VJXbVjaSHxFoctQQ4p2k4tRgN0jAjWel9jnR3ZoTv0PVW4gB86EEpGqTRDtpIz-2rmo8-KG06gqVobU5NSCFeHILHcVFUeMsbvwS-lxjqQGg98faovwjxeTUgZAUMnRQ
- Github -- https://github.com/ahkhalwai/chess-alpha-zero
- Watched Fastai NLP video 2 and 3
- Made that aur package for Grid (and a couple others) to try to make the PySysft for Android project working on my machine.
- Tried to get together with the goodfellows, but it was just and myself.
- Applied for the OpenMined scholarship
- Looked at equation 5.6-5.12 to try to understand it well enough to help someone in the goodfellows channel
- Continue reading The Algorithmic Foundations of Differential Privacy Chapter 4 Releasing Linear Queries with Correlated Error.
- Reading Robust Monte Carlo Localization for Mobile Robots to 2.3 Particle Approximation:http://robots.stanford.edu/papers/thrun.robust-mcl.pdf
- Watching Robotic Software Engineer Nanodegree program lesson 12 Monte Carlo Localization.
- Implementing Robotic Software Engineer Nanodegree program project where am I to Adaptive Monte Carlo Localization (AMCL) which dynamically adjusts the number of particles over a period of time, as the robot navigates around in a map. This adaptive process offers a significant computational advantage over MCL.
| Robot with a camera & Rangefinder | Map |
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- Continue learning, watching and implement fastai https://www.fast.ai/ finished lesson 3.
- Spend so many time to read and search for chess database for alpha chess engine but i don't found any yet.
- Start work on Stanford car dataset as per #sg_hackathon-orgnizrs along with @Halwai Aftab Hasan @Shivam Raisharma and @cibaca
- Participated in the first virtual meetup session of the study group #sg_clan with @Manisha @Arka @George Christopoulos @Kapadokia Titus @andreiliphd @Akshay Rajmohan @Nikita Sukhwal @Govind @Mateusz @A S M Sadiqul Islam @Sumanyu Rosha @Oladimeji Mudele.
- Attended virtual meetup on #sg_mumbai with @cibaca, @bhavz, @Hitoishi Das, @Shivam Raisharma, @Ankit Dubey, @bhavz, @princeKm, @amitrai, @sarthakahir, @Rohit Sahoo, @alpesh
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- Listened in on the pytorch robotics virtual meetup.
- Continue reading The Algorithmic Foundations of Differential Privacy Chapter 4.1. An offline algorithm: SmallDB.
- Reading PySyft tutorial to Part 5 - Welcome to the Sandbox.ipynb.
- Because Frida's encouragement I have a chance listen to Security and Privacy of Machine Learning.
- Implementing Robotic Software Engineer Nanodegree program project where am I to Adaptive Monte Carlo Localization (AMCL) which dynamically adjusts the number of particles over a period of time, as the robot navigates around in a map. Continue learning writing a research paper explain MCL vs EKF using LATEX. Learning build my own robot model and tuning parameters
- Reading AI for trading Nanodegree program to lesson 11 Regression. I love this Nanodegree and instructors very much because in the lesson 11 Regression section 6 testing for normality have a lot of visualize Spatial imagination relate to boxplot and QQ-plot with Gaussian distribution. As I read to this section I just fall in love with this Nanodegree program. After watching Section 11. 18 Interlude: Your Brain, I feel happy as I listen and learn this guidance.
- Reading Research Paper Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm https://arxiv.org/pdf/1712.01815.pdf
- Reading Article Mastering the game of Go without human knowledge https://www.nature.com/articles/nature24270.epdf?author_access_token=VJXbVjaSHxFoctQQ4p2k4tRgN0jAjWel9jnR3ZoTv0PVW4gB86EEpGqTRDtpIz-2rmo8-KG06gqVobU5NSCFeHILHcVFUeMsbvwS-lxjqQGg98faovwjxeTUgZAUMnRQ
- Received the stacking framework for my raspbery pis
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Continue reading The Algorithmic Foundations of Differential Privacy Chapter 4.2. An online mechanism: private multiplicative weights.
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Reading PySyft tutorial to Part 6 - Federated Learning on MNIST using a CNN.
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Continue implementing Robotic Software Engineer Nanodegree program project where am I to Adaptive Monte Carlo Localization (AMCL) which dynamically adjusts the number of particles over a period of time, as the robot navigates around in a map. Continue learning writing a research paper explain MCL vs EKF using LATEX finished Introduction section and a part of abstract. Decided my own robot model name call Hsin Bot.
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Reading AI for trading Nanodegree program to lesson 12 Time Series Modeling finished section 4.6 - 4.8 Kalman Filter, Particle Filter, and Recurrent Neural Networks. As I read Particle Filter is a type of genetic algorithm by apply nature selection to improve estimates and we can apply Kalman filer when we make predictions from noisy and indirect measurements like measure oil pipeline flow near the production sites, I'm truly happy that I decided to enroll in AI for trading Nanodegree program and reminds me CS50 lecture last semester also mentioned genetic algorithm.
- Start Securing Federated Learning.
- Completed Securing Federated Learning.
- Working on Style Transfer with different style images and try to reduces the loss rate for better image.
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- Watched the first part of the fast.ai NLP video
- Read the first part of the super image resolution paper for papers club
- Reading PySyft tutorial to Part 7 - Federated Learning with FederatedDataset.
- Rewatching lesson 5 Introducing local and global Differential Privacy to 5.8 Create a Differentially Private Query.
- Continue implementing Robotic Software Engineer Nanodegree program project where am I. Asking a question about warning log I encountered with mentor Seyfi and received his advice and guidance how wonderful:D! Can't wait to continue tune transform_tolerance parameter tomorrow. Continue learning writing a research paper explain MCL vs EKF using LATEX finished Introduction section and roughly completed abstract start writing background section and feel this writing research paper experience will help me build deeper knowledge in AMCL and EKF.
- Reading, Watching and implementing Robotic Software Engineer Nanodegree program lectures and quizzes to lesson 17.11 Grid-based FastSLAM Techniques.
- Reading and watching AI for trading Nanodegree program to lesson 14 Pairs Trading and mean reversion refresh my memory about z score feel happy and feel that I want to read lesson 13 volatility and lesson 14 Pairs Trading and mean reversion again because it is truly excellent, remarkable and fun! I saw wales in the lesson:D! Start Reading project Breakout Strategy.
- Back to my mini project federated learning with the help of my team, i started https://github.com/OpenMined/AndroidWorker in android studio.
- I initialize this androidworker by clone it to my pc and then open in androidstudio.
- So its my 1st interaction with android studio and its start with error and some pc hanging due to ram, but any how i manage to keep moving on by solving issue one by one.
- I still working on federated learning mini project with my team @Bearbear @Harkirat @Sarah Majors. https://towardsdatascience.com/pysyft-android-b28da47a767e
- Congratulation @Shubhangi Jena felicitated by the IG of Mumbai Police for extracurricular and leadership initiatives.
| 1st Time Run AndroidStudio | 2nd Error |
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- Read the second part of the super image resolution paper
- Watched the second part of the fast.ai NLP video 4
- Continue reading Deep Learning with Differential Privacy to 5.3 CIFAR.
- Rewatching Robotic Software Engineer Nanodegree program lesson 10 Kalman filter & lesson 12 Monte Carlo Localization.
- Continue implementing Robotic Software Engineer Nanodegree program project where am I. After parameter tuning, finally, my robot can navigation itself to the goal. Continue learning writing a research paper explain MCL vs EKF using LATEX roughly completed background section and a part of Kalman filters and Particle filters section. Have to focus on design HsinBot.
| Rviz | Gazebo |
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I encourage @Frida @Helena Barmer @Urvi Soni @Casey Buscall @Marwa @Sarah Majors @Pranjal Chaubey @Harkirat @Halwai Aftab Hasan keep up the great work and be Udacious!
- I wake up early morning to start solving the android studio issue but things goes wrong and pc is very slow at 2gb ram so its take lot of time to execute at each step so i officially announce this is " Error Day ". I thought that once i complete with this so i move to leaf classification project.
- I fanalize the location and place for the upcomming mumbai local meetup soon i will announce :)
- Encourage @Bearbear @cibaca @Hitoishi Das @Shivam Raisharma @Sarah Majors @Harkirat @Samuela Anastasi @Frida @Francesca @Munira Omar @Sunny Dsouza @Jyoti Kritika @Shubhangi Jena #60daysofudacity
- Worked on setting up my Pi stack and making script for setting up my pis
- Rewatching lesson 6 Differential privacy for deep learning to section 3 Generating Differentially Private Labels For a Dataset.
- Reading PySyft tutorial to Part 8 - Introduction to Plans and found a great paper TOWARDS FEDERATED LEARNING AT SCALE: SYSTEM DESIGN need to arrange time continue reading this paper.
- Rewatching Robotic Software Engineer Nanodegree program lesson 10 Kalman filter & lesson 12 Monte Carlo Localization.
- Continue implementing Robotic Software Engineer Nanodegree program project where am I got help and support by my mentor Seyfi, learned how to launch designed robot model can't wait tomorrow focus on design, my own robot model! I named it Hsinbot sounds like famous movie lion king simba:D!
- Continue learning writing a research paper practice explain MCL vs EKF using LATEX roughly completed Kalman filters, Particle filters section and start working on Comparison / Contrast section. I encourage @Frida @Helena Barmer @Urvi Soni @Casey Buscall @Marwa @Sarah Majors @Pranjal Chaubey @Harkirat @Halwai Aftab Hasan keep up the great work and learn to be Udacious!
- Beautiful day for me, today i went to the trek called " Chanderi Trek " its is in Maharastra, India so whole day i was in trek now i come back to home and start repeat the RNN Lesson from Intro to deeplearning using pytorch
- Repeat the RNN lesson and plan for sentioment analysis using PYTORCH by Tommorow
- As well as leaf classification project also will start from Tomorrow :)
- Encourage @Bearbear @cibaca @Hitoishi Das @Shivam Raisharma @Sarah Majors @Harkirat @Samuela Anastasi @Frida @Francesca @Munira Omar @Sunny Dsouza @Jyoti Kritika @Shubhangi Jena #60daysofudacity
- Worked on Pi scripts some more
- My GPU server running out of time so my Robotic software engineer Nanodegree project where am I delayed and can't continue to play design Hsinbot while contact my beloved Udacity support team, I start working with a native ROS installation nervous, stress and panic 😱 in my heart.
- Implementing AI for trading Nanodegree program Breakout Strategy Project.
- Meet my mentor Pranjal! He is the best mentor, I can have in AI for Trading Nanodegree program, today he helps me understand what is Herd Instinct an ARMA model and share his experience about ARMA with me. He also helps me reading ADF and Roots of the Characteristic Equation as we discuss the lesson material in AI for Trading Nanodegree program really support and help a lot for linking my knowledge.
| Pranjal&Me | Pranjal&Me |
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| Pranjal&Me | Pranjal&Me |
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I encourage @Frida @Helena Barmer @Urvi Soni @Casey Buscall @Marwa @Sarah Majors @Pranjal Chaubey @Harkirat @Halwai Aftab Hasan persistence is the best talent which is I learn from Udacity Career Services!
- Start working on kaggle leaf classification https://www.kaggle.com/c/leaf-classification
- Reading Discussion https://www.kaggle.com/c/leaf-classification/discussion
- Reading kernel https://www.kaggle.com/c/leaf-classification/kernels
- Encourage @Stark @Aisha Javed @Manisha @April D @susyjam @Nikita Sukhwal @Urvi Soni @Gabriela Urquieta @Shaistha @Shanmugapriya @cibaca #60daysofudacity
- Played with the NLP hackathon kernel. I wasn't going to do the hackathons because I have a lot of open projects, but... It ties with the fastai NLP course... It is almost not another project... Right?
- Rewatching lesson 6 Differential privacy for deep learning to section 4 PATE analysis.
- Reading paper TOWARDS FEDERATED LEARNING AT SCALE: SYSTEM DESIGN to section 3 Attestation.
- Rewatching Robotic Software Engineer Nanodegree program lesson 10 Kalman filter & lesson 12 Monte Carlo Localization.
- Continue learning writing a research paper practice explain MCL vs EKF using LATEX roughly completed Comparison / Contrast section and a brief introduction in the simulation section working on writing benchmark model: udacity bot specification.
- Got help and support by my mentor Seyfi, he taught me to update the public key for the ROS. Because they changed the key a few months ago and provide me instruction here.
- Rewatching AI for trading Nanodegree program lesson 9 Quant Workflow especially like section 4 Flavors of Trading! Received my treasure Breakout Strategy Project review and there's a lot of important feedback where I can feel love inside :) have to fix my project tomorrow after I wake up.
- My Robotic Software Engineer Nanodegree program Classmate Aswath Suresh encourage me and gave me very important sentences photo which motivates and encourages me a lot and they become my priceless treasure, I want to share these motivation sentences photo with my scholarship classmate:)!
Memorize the encouragement from Sir Aswath Suresh and thank you for your appreciation:
| Obsessed | Not End |
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I encourage @Frida @Helena Barmer @Urvi Soni @Casey Buscall @Marwa @Sarah Majors @Pranjal Chaubey @Harkirat @Halwai Aftab Hasan persistence is the best talent which is I learn from Udacity Career Services!
- Still working on kaggle leaf classification https://www.kaggle.com/c/leaf-classification
- Reading Discussion https://www.kaggle.com/c/leaf-classification/discussion
- Reading kernel https://www.kaggle.com/c/leaf-classification/kernels
- Attended Mumbai Virtual Meetup - 6 with @cibaca @Shivam Raisharma @bhavz @Praveer @amitrai.
- Encourage @Hitoishi Das @Bearbear @Harkirat @Sarah Majors @Frida @Samuela Anastasi @Stark #60daysofudacity
| Mumbai Virtual Meetup - 6 |
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- Played with the NLP hackathon kernel some more
- Rewatching lesson 7 Federated learning for 30 min.
- Modified AI for trading Nanodegree program Breakout Strategy Project follow reviewer's advice learn that we need to find outliers that satisfy both thresholds(ks_threshold and pvalue_threshold) at the same time. The outliers satisfying both thresholds at the same time would be a lot lesser. Finally passed this project but feel needs rewatching and spend some time thinking about the lessons.
- Finished native ROS package installation continue implementing Robotic Software Engineer Nanodegree program project where am I. Today is my first day finished design my own robot model with Gazebo and named it Hsin_bot which imitates the rocket, I'm so happy:) as I saw Hsin_bot moving a little bit forward! Continue to debug request for map failed in native ROS.
| Hsin_bot | Hsin_bot |
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- Watching Robotic Software Engineer Nanodegree program Lesson 17 Grid-based FastSLAM to 17.16 gmapping ROS Package and 17.15 SLAM with ROS as I saw Willow Garage environment can't describe how exciting I am. Hope I can quickly fix the request map fails in Native ROS then start play SLAM with ROS Lab!
- Today i complete my side project (Leaf Classification) which is last day to submit in #sg_clan and i complete successfully. https://www.kaggle.com/ahkhalwai55/classifier-showdown
- Read https://www.kaggle.com/c/leaf-classification/discussion
- Read https://www.kaggle.com/c/leaf-classification/kernels
- Thank Machine Learning Mystery Book for ML Pipeline :).
- Encourage @Bearbear @cibaca @Hitoishi Das @Shivam Raisharma @Harkirat @Sarah Majors @Sunny Dsouza #60daysofudacity
- Worked on the NLP hackathon, but did not finish. Determined I would rather go through the NLP lecture notebooks better and explore them more extensively instead.
- Fixed a couple bugs with the PySyft for Android - I had installed one of the wrong libraries: python-socketio instead of python-flask-socketio
- Got the image working for my raspberry pi 4 and now starting compile pytorch overnight.
- Rewatching lesson 7 Federated learning and reading Federated Learning with FederatedDataset.
- Reading TOWARDS FEDERATED LEARNING AT SCALE: SYSTEM DESIGN to 4.1 Actor Model.
- Meet important papers and start reading The GraphSLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures to 3.2. GraphSLAM: Basic Idea.
- Watching Robotic Software Engineer Nanodegree program Lesson 18 Graph-SLAM to 18.18 RTAB-Map Optimization and Output.
- Reading project: map my world robot to section 3 Extending your Robot Creation - Launch Files and section Common Questions.
- Reading Robotic Software Engineer Nanodegree program project where am I section Localization: Parameter Tuning. I encourage @Frida @Helena Barmer @Samuela Anastasi @Urvi Soni @Casey Buscall @Marwa @Sarah Majors @Pranjal Chaubey @Harkirat @Halwai Aftab Hasan persistence is the best talent and thank you for tagging me in the post which allows me to see things from your side:).
- Rewatch Neural Network for an upcoming event i.e Deeplearning Meetup by Developer Circle from Facebook Mumbai and I am the Facilitator with @Avi Seth 🙂 .
- Still stuck with Android studio bugs and error for mini project Federated Learning, but i will give my best to sort it out this as soon as possible :)
- Encourage My friends @cibaca @Bearbear @Hitoishi Das @Shivam Raisharma @Harkirat @Sarah Majors @Samuela Anastasi @Frida #60daysofudacity
Continue trying to build PyTorch for Pi
- Rewatching lesson 7 Federated learning section Garbage Collection and Common Errors.
- Reading The GraphSLAM Algorithm with Applications to Large-Scale Mapping of Urban Structures to 3.4. Inference.
- Reading Robotic Software Engineer Nanodegree program project Map my world robot to section 7 RTAB-Map Visualization Tools - Database Viewer.
- Reading AI for Trading Nanodegree Program to lesson 17 Exchanged Traded founds felt I need rewatching again.
- Today with mentor Sefyi's assistant, I finally fix all error log and finished native ROS package dependency install. Launch Adaptive Monte Carlo Localization package successfully and finally let Hsin bot enter its finish line. Have to focus on continuous learning writing a research paper using latex it is really fun, beautiful and the process to learn where I made mistakes and learn from this process.
- Today I get a lot of encouragement from Frida, She encourages a lot of classmates. I'm truly happy when she spent time answering my questions and the beautiful cute gif she sent to me. Talking to her is my important fun time today. Because of her, I regain my courage. I encourage @Frida @Helena Barmer @Samuela Anastasi @Urvi Soni @Casey Buscall @Marwa @Sarah Majors @Pranjal Chaubey @Harkirat @Halwai Aftab Hasan persistence is the best talent another great sentence I received is believe in yourself thank you for tagging me in the post which allows me to see things from your side:).
- Start Day with Event by developer circle from facebook mumbai on React with @amitrai @Hitoishi Das
- I meet the Co-Lead Prerak Gala and Front End facilitator Harsh Vitra, they share Exprience and give guidence for upcoming deeplearning meetup in which i am a facilitator for deeplearning
- finally many problems are solved of mini project federated learning using android studio with the help of my team @Sarah Majors @Harkirat @Bearbear
- Still working on federated learning project i hope so will complete this project with the help of them.
- Encourage My friends @cibaca @Bearbear @Hitoishi Das @Shivam Raisharma @Harkirat @Sarah Majors @Samuela Anastasi @Frida #60daysofudacity
| Whole FB Front End Team on React Topic |
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Attended the webinar in PyTorch Robotics Trying another run of compiling PyTorch for the Pi using ArchLinuxArm
- Rewatching lesson 7 Federated learning section Garbage Collection and Common Errors for 30 min.
- Reading Robotic Software Engineer Nanodegree program project Map my world robot and project where am I.
- Focus on continuous learning writing a research paper using latex in the project where am I to 3.1 Achievements.
- Got help from Udacity team Yash who reminds me the new GPU time and switch-mode between CPU and GPU. It is really warm and nice when I received emails from Udacity, I usually read many many times and collect them.
- Watching Robotic Software Engineer Nanodegree program lesson 17 Intro to RL for Robotics to section 20.2 Deep RL in Robotics try to catch up and re-plain all reading times.
- Receive encouragement sentences photo from Robotics software engineer classmate Sir Aswath Suresh, I am truly appreciate His encouragement and collect them as a really important memory, I want to share with scholarship classmates.
I encourage @Frida @Helena Barmer @Samuela Anastasi @Urvi Soni @Casey Buscall @Marwa @Sarah Majors @Pranjal Chaubey @Harkirat @Halwai Aftab Hasan persistence is the best talent another great sentence I received is believe in yourself thank you for tagging me in the post which allows me to see things from your side:).
- I spend most of the time to reinstall Android studio and shifted to external harddisk which start working smoothly PC while using android Still the problem is with emulator and kvm issue which is currently solving, anyway this is my last try then i will quit from this project because i can't able to run on my PC 😞,I learned a lot from my team thank you everyone @Bearbear @Sarah Majors @Harkirat
- because of android studio bugs and error or it's take lot of time for execution which is not yet happen its better to move on to next Project Thank you so much @Bearbear For giving me opportunity ✌️
- Encourage Encourage My friends @cibaca @Bearbear @Hitoishi Das @Shivam Raisharma @Harkirat @Sarah Majors @Samuela Anastasi @Frida #60daysofudacity
- PyTorch is finally built correctly for my pi!!!!
- Trying to build PySyft for pi, but having problems with some of the dependencies. Bazel is having jvm errors and I'm not sure how to fix it yet.
- Rewatching lesson 9 Encrypted Deep Learning for 30 min.
- Focus on writing a research paper using latex in the Robotic Software Engineer Nanodegree program project where am I to 3.2.3 Parameters.
- Participate in PyTorch robotics channel intro to the embedded system have a lot of fun time listen to Madalin and immerse myself in the time with classmates.
- As I received Dan's letter from Kaggle yesterday and read to the sentence "with a community of like-minded learners", I immediately reading and play with https://www.kaggle.com/learn/intermediate-machine-learning and https://www.kaggle.com/learn/intro-to-machine-learning for a little bit while and tell myself focus on writing project where am I.
- Complete the Intro to Deep Learning with Developer Circles from Facebook course today.
- Organize Meetup for Deep Learning with Developer Circles from Facebook By Sunday.
- Thinking about project challenge to participate alone and create my own dataset and everything which help for society and community.
- Encourage My friends @cibaca @Bearbear @Hitoishi Das @Shivam Raisharma @Harkirat @Sarah Majors @Samuela Anastasi @Frida #60daysofudacity
- Watched lectures 5 and 6 of the fast.ai NLP course
- Rewatching lesson 9 Encrypted Deep Learning for 30 min.
- Focus on writing a research paper using latex in the Robotic Software Engineer Nanodegree program project where am I to section Results.
- Participating in AWS DeepRacer Scholarship Challenge for reading Reinforcement learning. Spent a little bit time watching lesson 2 Get Started with AWS DeepRacer to section DeepRacer Assembly felt that I want to play DeepRacer.
- Asking Frida for the recording Udacity PUTTING HUMANS AT THE CENTER OF AI webinar. She is very kind and beautiful willing share her youtube recording link with me:).
- Start lesson 9 Encrypted Deep Learning.
- Reading again Federated Learning in 10 Line. https://blog.openmined.org/upgrade-to-federated-learning-in-10-lines/
- Participate in AWS DeepRacer Scholarship Challenge and meet some new friends :) or also i start 1st lesson as well :) https://www.udacity.com/aws-deepracer-scholarship
- Getting Knowledge about corn with my father and how i can use it
- Thinking to execute Scrape Material using CNN.
- @Aisha Javed You make my day 🙂 Thanks for appreciating me 🙂
- Encourage My friends @cibaca @Bearbear @Hitoishi Das @Shivam Raisharma @Harkirat @Sarah Majors @Samuela Anastasi @Frida @Khush @rinki nag @Shubhangi Jena @Jyoti Kritika @Aisha Javed @Praveer
- #60daysofudacity
- Tried to figure out my AWS name, password and id for the AWS DeepRacer challenge, but had problems. Signed into the challenge without them.
- Rewatching lesson 5 Introducing Local and global Differential Privacy.
- Split the rest task in group mini-project with Sarah Majors will start to implement tomorrow.
- Watching AWS DeepRacer Scholarship Challenge to lesson 3 Test drive to DeepRacer to section 5 The Basic Reward Function.
- Finished and submitted Robotic Software Engineer Nanodegree project where am I for 1st review and start implementing project Map my world robot.
- Watching Robotic Software Engineer Nanodegree program lesson 21 RL Basics.
- Watching AI for trading Nanodegree program to lesson 18 Portfolio risk and return section 8 Calculate a Covariance Matrix.
- Reading alphago
- 1 VS 1 call with AI for trading Nanodegree program my mentor Pranjal. We discuss lesson 3 Pairs trading and mean reversion section 12 Extending to 3 stocks and section 13 Details of the Johansen test explain the difference between cointegrated and correlation as he told me it's a nice session today, I feel happy:).
- Reading https://www.kaggle.com/learn/intermediate-machine-learning and https://www.kaggle.com/learn/intro-to-machine-learning for a little bit while.
I encourage @Frida @Helena Barmer @Samuela Anastasi @Urvi Soni @Casey Buscall @Marwa @Sarah Majors @Pranjal Chaubey @Harkirat @Halwai Aftab Hasan and myself persistence is the best talent another great sentence I received is believe in yourself thank you for tagging me in the post which allows me to see things from your side:).
- Rewatch Style Transfer and prepare style transfer for tomorrow Developer Circle from Facebook Meetup.
- Read Image Style Transfer Using Convolutional Neural Networks. https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf
- Had a talk with @rinki nag on career guidance, its a great time for me to build my own career properly...
- Had virtual meetup #sg_mumbai with @cibaca, @bhavz, @Hitoishi Das, @Shivam Raisharma, @Ankit Dubey, @bhavz, @Rohit Sahoo, @Praveer, @vivek, @Mushrifah Hasan
- Encourage My friends @cibaca @Bearbear @Hitoishi Das @Shivam Raisharma @Harkirat @Sarah Majors @Samuela Anastasi @Frida @Khush @rinki nag @Shubhangi Jena @Jyoti Kritika Kritika @Aisha Javed @Praveer
- #60daysofudacity
- Looked at the video for the mini-project with BearBear
- Thought more about the issues with Bazel
- Due to heavy rain in mumbai, Developer Circle from Facebook meetup is cancelled and we are planning for Virtual Meetup by tomorrow Night.
- Nice Weekend with aws deepracer lesson 2 Get Started with AWS Deepracer. https://d1.awsstatic.com/deepracer/AWS-DeepRacer-Getting-Started-Guide.pdf
- Rewatch lesson 5 Introducing Local and global Differential Privacy.
- Encourage My friends @cibaca @Bearbear @Hitoishi Das @Shivam Raisharma @Harkirat @Sarah Majors @Samuela Anastasi @Frida @Khush @rinki nag @Shubhangi Jena @Jyoti Kritika Kritika @Aisha Javed @Praveer #60daysofudacity
- Rewatching lesson 5 Introducing Local and global Differential Privacy to section 7 The Formal Definition of Differential Privacy.
- Continue focus on implementing group mini-project.
- Completed Robotic Software Engineer Nanodegree project where am I and focus on continue reading and implementing project Map my world robot deploys RTAB-Map on the simulated robot to create 2D and 3D Maps on a predefined environment. Demo my Intel aero flying car with RTAB-Map:
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- Reading AI for trading Nanodegree program to Lesson 18 Portfolio risk and return to section 12 The Sharp ratio.
- Watching Robotic Software Engineer Nanodegree program lesson 21 RL Basics to section 3 The Setting. I encourage @Frida @Helena Barmer @Samuela Anastasi @Urvi Soni @Casey Buscall @Marwa @Sarah Majors @Pranjal Chaubey @Harkirat @Halwai Aftab Hasan and myself persistence is the best talent another great sentence I received is believe in yourself thank you for tagging me in the post which allows me to see things from your side:).
- Watched AWS DeepRacer section 2
- Rewatching lesson 5 Introducing Local and global Differential Privacy section 7 The Formal Definition of Differential Privacy again.
- Split and discuss the rest task in group mini-project with Sarah Majors and Halwai Aftab Hasan.
- Focus on continue reading and implementing project Map my world robot deploys RTAB-Map on the simulated robot to create 2D and 3D Maps on a predefined environment.
- Today's interesting finding in Robotic Software Engineer Nanodegree program classroom https://s3-us-west-1.amazonaws.com/udacity-drlnd/bookdraft2018.pdf , https://github.com/udacity/rl-cheatsheet/blob/master/cheatsheet.pdf, and happily reading https://en.wikipedia.org/wiki/Bag-of-words_model_in_computer_vision.
- Implemented, playing and reading https://www.kaggle.com/hsinwenchang/exercise-random-forests, https://www.kaggle.com/hsinwenchang/exercise-data-leakage.
- Start day with my mini project and start executing task which is given by @Bearbear .
- Working on Reference section in my project or Creating a Simple Graph in Android Studio with GraphView for my project. https://www.youtube.com/watch?v=zbTvJZX0UDk&feature=youtu.be
- Many more surpirse for Project showcase including this mini project.
- Create and Organize Virtual Meetup for Developer Circle from Facebook Mumbai as a Facilator with @Sunny Dsouza, I start with introduction then move to Style transfer in real Application and we discussed on faceapp use Style transfer.
- Encourage My friends @cibaca @Bearbear @Hitoishi Das @Shivam Raisharma @Harkirat @Sarah Majors @Samuela Anastasi @Frida @rinki nag @Shubhangi Jena @Aisha Javed @Praveer
- She is the Best Person I have ever met before in my either career, her support for me is infinite, let's share one quote of her to me " You should know where to draw the line" - Diksha Sharma ❤️ ❤️
- #60daysofudacity
- Did some planning for adding the graphing page to the android app to visualize the noise addition for our mini-project with Bearbear
- Focus on implementing and debug group mini-project and organized document part.
- Focus on reading and implementing project Map my world robot deploys RTAB-Map on the simulated robot to create 2D and 3D Maps on a predefined environment.
- Focus on writing Robotic Software Engineer Nanodegree project Map my world robot write up PDF to section background. Through writing, I felt that I get more understanding and learn Occupancy Grid Mapping, Grid-based FastSLAM to GraphSLAM and RTAB-Map.
- Reading AI for trading Nanodegree program Lesson 18 Portfolio risk and return to section 13 Other Risk Measures, today I found interesting reading The Sharpe ration in the classroom which makes me happy. I encourage @Frida @Helena Barmer @Samuela Anastasi @Urvi Soni @Casey Buscall @Marwa @Sarah Majors @Pranjal Chaubey @Harkirat @Halwai Aftab Hasan and myself persistence is the best talent another great sentence I received is believe in yourself thank you for tagging me in the post which allows me to see things from your side:).
- Working on local differential privacy or global differential privacy Noise in my mini project, Thanks for Great Paper by Cynthia Dwork. https://people.csail.mit.edu/asmith/PS/sensitivity-tcc-final.pdf
- Rewatching Differential privacy and play with it for my mini-project. https://github.com/udacity/private-ai/blob/master/completed/Section%201%20-%20Differential%20Privacy.ipynb
- Thanks for Wikipedia work for AI Work which we get all resources easily. https://en.wikipedia.org/wiki/Additive_noise_mechanisms
- Create Organize Second Virtual Meetup of Developer Circle from Facebook with @Avi Seth @Sunny Dsouza , where we discussed on Style Transfer and Differential Privacy in real-life application.
- Encourage My friends @cibaca @Bearbear @Hitoishi Das @Shivam Raisharma @Harkirat @Sarah Majors @Samuela Anastasi @Frida @rinki nag @Shubhangi Jena @Aisha Javed @Praveer @Jyoti Kritika @Poornima Venkatraman
- Shout out for these 2 people which i inspire most but they don't know 😛
I learn a lot from these two guys @Bearbear @Sarah Majors
#60daysofudacity
- Worked on the graph for the Android Worker, but progress is slow because I am not terribly familiar with Android programming.
- Focus on debug group mini-project.
- Rewatching lesson 5 Introducing Local and global Differential Privacy section 7 The Formal Definition of Differential Privacy.
- Focus on writing Robotic Software Engineer Nanodegree project Map my world robot write up PDF to section 2.3 GraphSLAM. Through writing, I felt that I get more understanding and learn Occupancy Grid Mapping, Grid-based FastSLAM to GraphSLAM and RTAB-Map. I encourage @Frida @Helena Barmer @Samuela Anastasi @Urvi Soni @Casey Buscall @Marwa @Sarah Majors @Pranjal Chaubey @Harkirat @Halwai Aftab Hasan and myself persistence is the best talent another great sentence I received is believe in yourself thank you for tagging me in the post which allows me to see things from your side:).
Thank you @Sarah Majors @Harkirat Singh and Halwai Aftab Hasan willing to participate this group project with me. You are awsome let us practice persistence together:D!
- Working on Mini Project, Local or Global Differential Privacy Noise.
- Working with The Laplace Mechanism. https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf
- Totally Focus on my Mini Project with my team @Bearbear @Sarah Majors @Harkirat
- Encourage My friends @cibaca @Bearbear @Hitoishi Das @Shivam Raisharma @Harkirat @Sarah Majors @Samuela Anastasi @Frida @rinki nag @Shubhangi Jena @Aisha Javed @Praveer
- #60daysofudacity
- Watched fastai NLP lecture 9
- Debugging group mini-project.
- Writing Robotic Software Engineer Nanodegree project Map my world robot write up PDF to section 2.1 Occupancy Grid Mapping. Design and implement my_world.launch.
- Reading AI for trading Nanodegree program Lesson 18 Portfolio risk and return to section 13 Other Risk Measures need a good night sleep.
- Rewatching whole Differential privacy and Federated Learning for my mini-project.
- Totally focus on implementing more for my min project 🙂
- I found my mini-project team is Happy with my work lets go for a more better version of my mini-project.
- Encourage My friends @cibaca @Bearbear @Hitoishi Das @Shivam Raisharma @Harkirat @Sarah Majors @Samuela Anastasi @Frida @rinki nag @Shubhangi Jena @Aisha Javed @Praveer
- Shout out @channel for complete your course as soon as possible and those people who not yet complete his/her course, let's encourage them so that they will also go for phase 2 🙂 #60daysofudacity
- Watched fastai NLP lecture 10
- Implementing and Debugging group mini-project.
- Reading https://www.kaggle.com/alexisbcook/data-leakage
- Writing Robotic Software Engineer Nanodegree project Map my world robot write up PDF. Designing and implementing my_world.launch.
- Reading AI for trading Nanodegree program Lesson 20 Portfolio optimization to section 10 Rebalancing a Portfolio felt that I need a good night sleep.
- Today is the first day I know I finally completed good and excellent alpha achievement in WorldQuant. My Gratitude to the Instructors in AI for trading Nanodegree program, WorldQuant Virtual Bootcamp, Russia WebSim Training Series and Researchers in Taiwan Headquater.
- Traveling the whole day, tired a lot.
- Good News My lecture of Style Transfer on Developer Circle from Facebook is appear on facebook facilitator Group.
- Continue Brainstorming on differential privacy and federated learning for my mini-project, working more on adding new features
- Shout out @channel for complete your course as soon as possible and those people who not yet complete his/her course, let's encourage them so that they will also go for phase 2 🙂
#60daysofudacity
- Got the graph working for the mini-project
- Review and Merge Sarah Majors her well structured GraphView code into group mini-project.
- Finished reading AI for trading Nanodegree program Lesson 20 Portfolio optimization, Project: Smart Beta and Portfolio Optimization and rewatching Lesson 10 Quant workflow.
- I'm truly happy that the person reaches 6th place in the competition https://www.kaggle.com/c/recognizing-faces-in-the-wild/discussion/103457?fbclid=IwAR1agqh-Uh2UjTYtmziOb5_cZhVcUiJqZCoOCVa8irduDZAXBGHUsohfYLQ write a post and said thank you to my kernel and I felt very worth it. This post definitely enrich my heart and soul:D! Thank you Partha!! Thank you Kaggle and Udacity, I really become a little helper and can help researcher around the world.
- I had bad canned food yesterday night puke heavily, feel very weak and very uncomfortable rest earlier for today.
- Attended #sg_mumbai Slack Discussion.
- Continue with federated Learning and differential privacy.
- Shout out @channel for complete your course as soon as possible and those people who not yet complete his/her course, let's encourage them so that they will also go for phase 2 slightly_smiling_face #60daysofudacity
- More work on GraphView
- Implementing and Debugging group mini-project.
- Reading https://www.kaggle.com/alexisbcook/data-leakage
- Installed ROS and RTAB-Map for debugging Robotic Software Engineer Nanodegree project Map my world robot.
- Implementing Robotic Software Engineer Nanodegree project Map my world robot.
- Watching Kaggle day after I watch this Kaggle day, it really likes a torch lighten my world and heart. I love the time with Udacity and Kaggle. Thank you Udacity and Kaggle! You are awesome!
- Received encouragements youtube from my Robotics Software Engineer Nanodegree Program classmate Sir Aswath Suresh. Your Encouragement motivates me a lot, Thank you, Sir Aswath Suresh:)! You Rock! I would like to share this youtube with all my scholarship classmates.
- Working on differential privacy on federated learning for my mini project, Thank you open minded slack team where already great people is there for help u at any situation
- Improving most of my project part.
- Attended virtual Meetup #sg_mumbai planning on having revision sessions the coming week 😊.
- Shoutout @channel who don't yet complete the course, lets help them and encourage them for complete the course, I u guys can join with us on revision the whole courses from Wednesday 😊
#60daysofudacity
- Work on mini project
- Implementing and Debugging group mini-project.
- Finished implement Kaggle https://www.kaggle.com/learn/intermediate-machine-learning and https://www.kaggle.com/learn/intro-to-sql
- Implementing and Debugging Robotic Software Engineer Nanodegree project Map my world robot.
- Watching Robotic Software Engineer Nanodegree program Lesson 25 Deep RL Manipulator.
- Participated PyTorch Hackathon and form a team with @cibaca @Shivam Raisharma @Labiba @Hitoishi Das.
- Love to see that @annaSWE winning project lets get more detail about the hackathon.
- Whole day busy with celebrating my festival " EID " with family, relatives, friends and here #celebrate, Eid is the festival of Joy.
- Back to implementing my mini project, finally my question solved by openminded regarding differential privacy looking forward to execute it 🙂
- Shoutout @channel who don't yet complete the course, lets help them and encourage them to complete the course.
- Encourage My friends @cibaca @Bearbear @Hitoishi Das @Shivam Raisharma @Harkirat @Sarah Majors @Samuela Anastasi @Frida @rinki nag @Shubhangi Jena @Aisha Javed @Praveer @Labiba
- #60daysofudacity
- Work on mini project
- Implementing and Debugging group mini-project.
- Implementing and Debugging Robotic Software Engineer Nanodegree project Map my world robot.
- Implementing and Debugging AI for trading Nanodegree project Smart Beta and Portfolio Optimization.
- Participating in WorldQuant Virtual Boot Camp felt very inspiring and warm.
- Watching Putting Humans at the Center of AI and Paola Arlotta: Brain Development from Stem Cell to Organoid | Artificial Intelligence (AI) Podcast regain a lot of energy and lighten my world.
- Implementing mini project, lots of learning through this project 😊
- Tomorrow will test the mini project using virtual worker
- Going through @annaSWE Project and get some ideas for the PyTorch Hackathon and chat with my Pytorch Hackathon team for projects #60daysofudacity (
- Work on raspberry pi project
- Rewatching lesson 5 Introducing Local and global Differential Privacy section 7 The Formal Definition of Differential Privacy.
- Reading Deep Learning with Differential Privacy section Differentially private version.
- Implementing and Debugging Robotic Software Engineer Nanodegree project Map my world robot.
- While discusses, listen, debug and implementing group mini-project with @Sarah Majors , @Harkirat, and @Halwai Aftab Hasan, I feel happy and see they grow amazed by their talents. You are the best @Sarah Majors, @Harkirat, and @Halwai Aftab Hasan let us practice believe in yourself together!
I encourage @Frida @Helena Barmer @Samuela Anastasi @Urvi Soni @Casey Buscall @Marwa @Sarah Majors @Pranjal Chaubey @Harkirat @Halwai Aftab Hasan and myself persistence is the best talent another great sentence I received is believe in yourself thank you for tagging me in the post which allows me to see things from your side:).
Thank you @Sarah Majors @Harkirat Singh and Halwai Aftab Hasan willing to participate this group project with me. You are awsome let us practice persistence together:D!
- Start working on testing using virtual worker and its successful run after lots of error !! Thank you guys for helping me @Bearbear @Harkirat @Sarah Majors
- looking forward to debugging and will participate in the medium article of my mini-project as well.
- Encourage @Channel
- #60daysofudacity
- Work on raspberry pi project
- Reading A generic framework for privacy preserving deep learning
- Implementing and Debugging Robotic Software Engineer Nanodegree project Map my world robot and found really nice resources https://www.robotigniteacademy.com/en/.
- Implementing and Debugging group mini-project. Thank you Harkirat Singh for the network connection breakthrough and share your experience, knowledge and consideration with us allow our group mini project can continue work on that.
- Completed #l8_encrypted_dl Chapter as well as complete my whole course as well 🙂
- Working on Mini Projects
- Attended in PyTorch Hackathon my Team Meetup with @cibaca @Shivam Raisharma @Labiba @Hitoishi Das
- Attended #sg_dl-goodfellows meetup with @cibaca @Shivam Raisharma @Munira Omar@Alexander Villasoto @Ankur Bhatia @Sourav @K.S. @David Ashraf @Oudarjya Sen Sarma
- Encourage @Channel #60daysofudacity
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- Work on mini project
- Reading A generic framework for privacy preserving deep learning
- Focus on implementing and Debugging group mini-project.
- Focus on implementing and Debugging Robotic Software Engineer Nanodegree project Map my world robot received feedback from mentor Hsiang and finding legacy from Robotic Software Engineer Nanodegree program slack channel, dash delaying student me! I want to say thank you classmates:), I will figure it out!
- Split tasks with Harkirat, Sarah Majors and Halwai Aftab Hasan while reading and listening, received feedback from Harkirat, Sarah Majors and Halwai Aftab Hasan modifying with their feedback together and It's really fun and great part of this group mini-project.
- Extra wonderful today I received Gina's email from Udacity, her email support and helps me a lot!! The most important part is I miss Gina's email from Robotic Software Engineer Nanodegree program collect this email immediately.
- Half-day struggling from no electric in my area
- Working on mini-project and debugging.
- Searching for a good project idea for PyTorch hackathon
- Brilliant work of @Harkirat @Sarah Majors @Bearbear learn a lot 🙂
- Encourage @channel #60daysofudacity
- Work on mini project
- Reading A generic framework for privacy preserving deep learning
- Focus on continue writing and fix readme and the medium story will fully on writing medium tomorrow.
- Focus on implementing and Debugging Robotic Software Engineer Nanodegree project Map my world robot.
- Implementing and Debugging AI for trading Nanodegree project Smart Beta and Portfolio Optimization.
- Saw Harkirat demonstrate his well-structured code contribution on MINST FL with 90% accuracy and colorful & beauty MINST images feel truly amazing and wonderful from my heart, Thank you Harkirat and thank you for continuing share thoughts with us!
- Thank you Sarah Majors for reply all the question to Halwai Aftab Hasan and have fun time discuss thoughts with Hark:)!
- Thank you Halwai Aftab Hasan your question always a part of dynamic drive this study group.
I encourage @Frida @Helena Barmer @Samuela Anastasi @Urvi Soni @Casey Buscall @Marwa @Sarah Majors @Pranjal Chaubey @Harkirat @Halwai Aftab Hasan and myself persistence is the best talent another great sentence I received is believe in yourself thank you for tagging me in the post which allows me to see things from your side:). Thank you @Sarah Majors @Harkirat Singh and Halwai Aftab Hasan willing to participate this group project with me. You are awsome let us practice persistence together:D! Last dash!!
- Working on mini-project and debugging or including medium.
- Searching for a good project idea for PyTorch hackathon.
- Plan to execute the whole project by Monday.
- Thank you @Bearbear @Sarah Majors @Harkirat for solving my queries 🙂
- Encourage @Channel 🙂 #60daysofudacity
- Work on raspberry pi project
- Continue focus on writing medium descriptive story explain differential privacy(DP), Federated Learning(FL) with PySyft framework in the group mini-project and change thoughts with @Sarah Majors @Harkirat Singh and Halwai Aftab Hasan will continue full time on writing medium descriptive story tomorrow hopefully finish them before Tuesday.
- Finished implementing and Debugging AI for trading Nanodegree project Smart Beta and Portfolio Optimization and received an awesome review from a reviewer who provides me more clean way implement function get_covariance_returns feels like receive Christmas present and I need to rewatching lesson again!
- Participating WorldQuant Virtual Boot Camp listen and learn from Sir Jeffrey, Sir Harpreet, and Miss Ileana feel exciting and looking forward to meeting my alpha and become more descriptive while reading the learn section. Subscribe WorldQuant Youtube.
- Whole day working on min project, solving my querys and learning a lot from my teammates @Bearbear @Sarah Majors @Harkirat
- Plan to complete whole project by tomorrow, so much fun and interesting to solve problems of my mini project:blush::blush:
- Encourage @channel @cibaca @Hitoishi Das @Shivam Raisharma @Shubhangi Jena @Jyoti Kritika @Frida @Samuela Anastasi @Aisha Javed @rinki nag @Sunny Dsouza @Labiba @Stark @Arka @Munira Omar @Praveer #60daysofudacity
- Work on raspberry pi project
- Reading The Algorithmic Foundations of Differential Privacy
- Reading A generic framework for privacy preserving deep learning
- Full time on writing a medium story with @Sarah Majors @Harkirat Singh and Halwai Aftab Hasan will continue full time on writing medium descriptive story tomorrow hopefully finish them before the end of Tuesday.
- Enjoying the happiness time have conversations with @Sarah Majors @Harkirat Singh and @Halwai Aftab Hasan separated the rest task on writing the medium story, Implement and debugging group-mini project with @Sarah Majors @Harkirat Singh and @Halwai Aftab Hasan hope our study group can reach the goal together.
- I truly appreciate @Sarah Majors her consideration thoughtful kindness dynamically help and support study group mini-project. It's very honorable quality and @Harkirat Singh's can-do attitude and resolves many difficult gaps for the team. Share his thoughts with kind and make a lot of breakthrough for the group mini-project way beyond my imagination.
- I appreciate the good quality of @Halwai Aftab Hasan through this scholarship, Sarah and I thought he can humbly handle advice well it will be an excellent quality to learn to become better and extremely passionate with what he is learning and extra practice by himself. Always watch scholarship event for the team and always try to follow up with the group mini-project.
- Worked on my mini project for Project_showcase:penguin_dance:
- Tough day, I hope everyone will like our projects
- Encourage @channel
- #60daysofudacity
- Work on mini project
- Full time on writing a medium story with @Sarah Majors @Harkirat Singh and Halwai Aftab Hasan.
- Debugging group mini-project and discuss with @Sarah Majors @Harkirat Singh and Halwai Aftab Hasan about how the story will go.
- Today's little happiness the Moodbit from fly car Nanodegree program slack message me about "it´s important that you move from your chair as soon as you read this!". I'm happy from my heart while receiving this warm greeting from fly car Nanodegree program slack.
- Day start with uploading @sarthak project to project showcase challenge where he is in trouble of rejection of pull request and he is stuck with it, when i uploaded the project, still they rejected his project without any solution, which result is wasted of my time as well as them (project showcase management ) after my half day wasted and no action i found i just complain to @kkech and he help a lot by solving our problem as well as others too 🙂
- Still working on my mini project only few parts are left so like today i do coding a bit and writing part of medium for our project
- Encourage @channel
- #60daysofudacity
- Work on mini project to get it in shape for submission today. Still some work going forward but we did well.
- Submit group mini project with my teammate together, stay overnight with @Sarah Majors @Harkirat Singh and @Halwai Aftab Hasan for several days decide rest for a few days when all of us well recovered then continue implementing and debugging group mini project for a much stable and high-quality version then continue to finish writing medium story get to publish with @Sarah Majors @Harkirat Singh and @Halwai Aftab Hasan.
- Reading Robotic Software Engineer Nanodegree program project Map my world robot pick up where I stuck into thinking clearly then continue implementing and debugging.
- Reading and implementing Robotic Software Engineer Nanodegree program project Deep RL Arm Manipulation while reading more times and implementing get familiar with PyTorch C/C++ API. Saw LUA in this project remind me the wonderful TA Colton Odgen his lectures from CS50 need arrange times enjoy the psets finish them little by little.
- Receiving warm, nice and encourage emails from VanHack, Kaggle, The Linux Foundation, and AngelList which remind me don't give up.
- Stay overnight for completing the project and submission @Sarah Majors @Harkirat @Bearbear
- Brainstorming on a project idea for pytorch hackathon
- Encourage @channel #60daysofudacity
- Complete lessons 3.2-3.5 in AWS DeepRacer
- After several days stay overnights, I have a nice long sleep and rewatching lesson 7 Federated Learning and 8 Securing Federated Learning because it's the key material to group mini-project will take time rewatch lesson 8 Securing Federated Learning and lesson 9 Encrypted Deep Learning fix issues on group mini-project after ease my Robotics Software Engineer Nanodegree program projects deadline and study schedule.
- Reading Robotic Software Engineer Nanodegree program project Map my world robot pick up where I stuck into thinking clearly then continue implementing and debugging.
- Reading and implementing TODO tasks on gazebo/ArmPlugin.cpp from Robotic Software Engineer Nanodegree program project Deep RL Arm Manipulation while reading more times and implementing get familiar with PyTorch C/C++ API start tuning hyperparameters on GPU enabled sever tomorrow if goes well start writing write up a report using LaTEX.
- Reading AI for trading Nanodegree program Lesson 22 Factors and Factor Models and Types of Factors, while in lesson 22 Factors, I heard Instructor Edie said you made it!! And Sir Jonathan said It's where all come to life and Instructor Liz said what we learn so far in a very inspiring tone. I feel relaxed, happy and truly glad I made decision enroll in AI for trading Nanodegree program. The lessons and conversation between Instructors are enlightening which I still need rewatching and catch up with quizz and lessons material.
- Whole day trouble with no wifi connection due to changing line cable. 😞
- Had a meetup regarding our submission to PyTorch Summer Hackathon with @Hitoishi Das @cibaca @Shivam Raisharma@Labiba
Encouraging @Shivam Raisharma @Hitoishi Das @cibaca @Frida @Labiba@amitrai @Bearbear @Sarah Majors @Harkirat @Samuela Anastasi @annaSWE
#60daysofudacity
- I wish I could say something cool but I spent over 12 hours today fighting with python for work trying to get my demo ready for a meeting
- Rewatching lesson 8 Securing Federated Learning.
- Have chance talk to OpenMind team Jose Corbacho. He helps me resolve my doubt.
- Fixing my compiling errors in Robotic Software Engineer Nanodegree program project Deep RL Arm Manipulation while reading more times and implementing get familiar with PyTorch C/C++ API.
- Receved Dan's email from Kaggle it's very warm and cute "Congratulations, you’ve made progress on our ML courses and have officially qualified for our beginner-friendly, invite-only ML competition! The competition will launch on August 29, but first we’d like to offer you the opportunity to sign up to be placed on a team with 3 - 4 other learners." I feel been appreciate by Kaggle and Scholarship classmates all love Kaggle learn, I also love Kaggle's Youtube where I listen and learn things from. I love them and thank you for the warm emails I received. We love Dan's email!! Thank you, Meghan and Rachel's SQL summer camp, I have fun times to have same memories with scholarship classmates thank you Udacity!
- Reading AI for trading Nanodegree program Lesson 22 Factors and Factor Models and Types of Factors, while in lesson 22 Factors, I heard Instructor Edie said "it's where werewolf and magic happen" decided to listen to that section twice and replay many many times.
- Have 1 VS 1 call with my mentor Pranjal in AI for trading Nanodegree program, he taught me the importance of perform Alpha model in different countries and explain to me why we need to do that. We doing the paper reading and discussion Does Investor Attention Stop at the Water’s Edge? The Predictability of Multinational Firms’ Returns, I love to listen to Pranjal explain the idea inside the paper and what's Geographic Momentum to me, I'm happy he recovers from his fever well.
- Working on Pytorch Hackathon project with @cibaca @Hitoishi Das @Labiba @Shivam Raisharma
- Rewatch securing Federated Learning and Gone through Pysyft tutorial part 10 on Federated Learning with Secure Aggregation, https://github.com/OpenMined/PySyft/blob/master/examples/tutorials/Part%2010%20-%20Federated%20Learning%20with%20Secure%20Aggregation.ipynb
- Secure aggregation is not easy for me so I start with sample mnist dataset its help for my mini project further development
- Encourage @Bearbear @Sarah Majors @Harkirat @cibaca @Hitoishi Das @Shivam Raisharma @Labiba @Frida @Samuela Anastasi @Shubhangi Jena
- #60daysofudacity
- Watched part of fastai NLP video 12
- Finished fix my compiling errors in Robotic Software Engineer Nanodegree program project Deep RL Arm Manipulation tuning hyperparameters of an interim reward based on the distance to the object tuning the alpha value here and a reward based on collision between the arm and the object. Reading more times and implementing get familiar with PyTorch C/C++ API. Search questions on Robotic Software Engineer Nanodegree program Slack.
- Decided rewatching AI for trading Nanodegree program Smart Beta and Portfolio Optimization. Reading AI for trading Nanodegree program Lesson 23 Factor Models and Types of Factors.
- After a year my doctor call me to ask me for assistance implement LUA for medical usage, I truly glad he give me this chance to assist him and he is kind and told me finish my Robotic Software Engineer Nanodegree program project deadline first, It’s important and he can wait for me. It’s a great chance he allows me to assist him even I don’t understand the medical theory behind but I’m happy that I can have time working and learn with him because he saved my life in the past so of course i do it for free. He is a respectful elder doctor in Taiwan. Thank you CS50 TA Colton Odgen, I remember you in my heart.
- Today Moodbit from Flying car engineer Nanodegree Slack give me warm regards and ask questions about my this week progress and Moodbit smile to me said “I always appreciate your response! Have a happy weekend. I love Moodbit because its kindness.
- Watching Keoki Jackson: Lockheed Martin | Artificial Intelligence (AI) Podcast for emotional recovery：
- Continued working on the Python project for work to get caught up.
- Start my day with Encrypted Aggregation, pysyft tutorial part 10 still working on it.
- Working with my Pytorch Hackathon team
- Get a chance to talk to the senior and 28 year experience Doctor, she is a physiotherapist in my city,she her experience and give me lot of guidence regarding my career, its a great Exprience for me to get chance to be with her for 1 hour on whatsapp video call.
- Encourage @channel
- #60daysofudacity
- Fixed accuracy zero error and tuning hyperparameters of an interim reward based on the distance to the object, the alpha value, a reward based on collision between the arm and the object and a reward based on collision between the arm’s gripper base and the object achieve accuracy 90% and 80% in Robotic Software Engineer Nanodegree program project Deep RL Arm Manipulation.
- Continue writing Robotic Software Engineer Nanodegree program project Deep RL Arm Manipulation write up report.
- Participate WordQuant Virtual boot camp ask a lot of question and received excellent replies, I'm happy and grateful for the interaction in WordQuant Virtual boot camp.
- Continue watching Kaggle youtube.
- Update the 60days repo. I had gotten way behind on that. I lost some of the posts I had in the channel because they are past the max messages limit so I had to try to reconstruct some of them.
- Look at some of the notebooks from the fastai NLP course.
@channel last day of #60daysofudacity 😊
- Start my day with IELTS preparation for English which is given by @Bearbear 😊 and Also Started Arabic Language speaking.
- Still working on Federated Learning Pysyft tutorial by Abdrew Trask, its available on Pysft github repository.
- Working with my pytorch Hackathon team for further progress of the project.
- Its a great Exprience for me with you all @channel Thank you so much for your support and guidance ❤️ #60daysofudacity
| Badge | Udacity on 60dayudacity |
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- Thank you Udacity!! I love you from my heart :). My many gratitude and appreciation to Udacity🎉🎉🎉!! We love Udacity!!
Thank you Frida Rode for nominate this very little me:)!
| Badge | Certification of Appreciation |
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- Watching AI for Trading Nanodegree program lesson 24 Risk Factor Model particular like section Interlude feel the love from Udacity.
- Watching Robotics Software Engineer NanoDegree program lesson 28 Classic Path Planning section A star search.
- While reading and searching on how to continue debugging my map my world robot project, setup LUA, LOVE2D and Unity. This year my final project in CS50’s Introduction to Game Development is LUA medical application with my Doctor who is a respectful elder doctor in Taiwan on holiday after I can graduate from Robotics Software Engineer NanoDegree program. Continue debug teleop.launch with mentor Hsiang who encourage and guide me a lot. After easing my study schedules, I have to get back with teammates finish issue fix in group mini-project:
- Still watching CS50 2019 - Lecture 0 at Yale - Computational Thinking, Scratch.
- Watchin Rachael from Kaggle SQL Summer camp
- Watching Sir Lex Fridman's podcast for learning:
- 1 vs 1 Call with mentor Pranjal we discuss Hurst exponent and Fama French SMB and HML. He also very exciting talk to me about project 7 also let me feel very looking forward to project 7.
- Participating in Kaggle competitions finding problems which makes my heart beat:
Ciphertext Challenge III: Wherefore Art Thou, Simple Ciphers?
IEEE-CIS Fraud Detection Can you detect fraud from customer transactions?
Learn With Other Kaggle Users Classify forest types based on information about the area
Understanding Clouds from Satellite Images Can you classify cloud structures from satellites?
