Hands-on weekly assignments containing supervised & unsupervised algorithms in R, Python, SaS, using real-world data.
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Feb 22, 2020 - Jupyter Notebook
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Hands-on weekly assignments containing supervised & unsupervised algorithms in R, Python, SaS, using real-world data.
Computation using data flow graphs for scalable machine learning
Study machine learning and AI
A C++ implementation of feed-forward neural networks.
UFLDL Tutorial - Multi layer neural network tutorial
Testing out TFLearn
A research project on how people in Copenhagen interact with and perceive six different neighbourhoods by applying statistical analysis and natural language processing to captions from Instagram posts.
Deep Learning, Kaggle Contests, ML Algorithms, Hackathon Solutions
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101