Sep 21, 2022
unsupervised learning, clustering
Sep 7, 2022
Things written on the whiteboard during week 5 workshop.
Aug 31, 2022
adaboost, gradient boosting, xgboost
Solution to one exercise about formulating gradient descent and discussion of backpropagation (forward vs reverse mode autodifferentiation.)
Aug 24, 2022
This notebook provide some interactive visualisation related to components of Artificial Neural network for you to play with.
This notebook provide a simple SVM demo for you to play with.
Aug 17, 2022
A summary of thematic elements of machine learning encountered so far.
Q&A for materials in week 3. SVM related.
Q&A for materials in week 2. Hyperparameters, feature selection, continuous variables in decision trees etc...
Aug 10, 2022
Solutions and discussions to written exercises for week 2 with discussions and comments.
We talk about entropy, decision trees and random forest.
Q&A for materials in week 1.
Aug 5, 2022
Extra materials from the internet that might broaden machine learning knowledge and exposure.
Solutions and discussions to written exercises for week 1 with discussions and comments.
Aug 3, 2022