Based on previous courses by Prof. Sven Degroeve.
This repository contains the Jupyter notebooks for the VIB Machine Learning & Deep Learning Workshop.
- Fork this repository to obtain an editable copy.
- Start by clicking on the
Open in Colabbutton in each notebook. - After editing a notebook, it can be saved to GitHub in your own repository.
- Kaggle competition: https://www.kaggle.com/competitions/peptide-lc-retention-time-prediction
9:30 Introduction to Machine Learning (Robbin Bouwmeester)
Lecture by Prof. Sven Degroeve: YouTube
Lecture slides: 1_introduction.pptx
10:00 Data fitting (Robbin Bouwmeester)
Lecture by Prof. Sven Degroeve: YouTube
Lecture slides: 2_regression.pptx
Some discussion about gradient descent.
Hands on: Histone_marks_lr.ipynb section 1
10:45 Break
11:00 Logistic regression (Robbin Bouwmeester)
Lecture by Prof. Sven Degroeve: YouTube
Lecture slides: 3_logistic_regression.pptx
Introduction to learning platform Kaggle + peptide retention time competition
Hands on: Histone_marks_lr.ipynb sections 2, 3 and 4
12:15 Lunch
13:15 Model complexity (Robbin Bouwmeester)
Lecture by Prof. Sven Degroeve: YouTube
Lecture slides: 4_regularization.pptx
Hands on: Histone_marks_lr.ipynb section 5
14:00 Bias & Variance (Robbin Bouwmeester)
Lecture by Prof. Sven Degroeve: YouTube
Lecture slides: 5_ensemble_learning.pptx
Hands on: Histone_marks_dt.ipynb
15:00 Kaggle Competition (Ralf Gabriels & Robbin Bouwmeester)
In this section it is up to you to fit and optimze a regression model, evaluate it, and make predictions on the test set. At this point there should be enough time to help each of you individually.
09:30 What is deep learning? (Ralf Gabriels)
Lecture by Prof. Sven Degroeve: YouTube
Lecture slides: 6_deep_neural_networks.pptx
10:30 Break
10:45 CNNs and RNNs (Ralf Gabriels)
Hands on (CNN): Melanoma_CNN.ipynb (Kaggle)
Additional material (RNN): Pytorch lightning RNN
Lecture slides:
12:15 Lunch
13:15 CNNs and RNNs - continued (Ralf Gabriels)
Hands on (CNN): Melanoma_CNN.ipynb (Kaggle)
Additional material (RNN): Pytorch lightning RNN
Lecture slides:
13:45 Deep Generative Models (Robbin Bouwmeester)
Lecture slides: 9_deep_generative_models.pptx
14:30 Break
14:45 Discussions, Q&A, and competition (Ralf Gabriels & Robbin Bouwmeester)
https://playground.tensorflow.org/
16:50 Announcement of the competition winner & closing!
Ralf Gabriels (ralf.gabriels@ugent.be) & Robbin Bouwmeester (robbin.bouwmeester@ugent.be)