Lectures
Lecture 01 - Sept 5 - Introduction
Slides part 1, slides part 2, video part 1 (covering slides 1-24, affected by technical problems), video part 2 (covering slides 26-end)
Lecture 02 - Sept 12 - First look at the data
Slides part 1, slides part 2, video
Lecture 03 - Sept 19 - Data exploration
Lecture 04 - Sept 26 - Frequent pattern mining
Lecture 05 - Oct 3 - Clustering and dimensionality reduction
Lecture 06 - Oct 10 - Machine learning 1: Introduction
Slides part 1, slides part 2, video
Lecture 07 - Oct 17 - Machine learning 2: Classification
Lecture 08 - Oct 24 - Machine learning 3: ROC analysis and regression
Lecture 09 - Oct 31 - Machine learning 4: Deep learning
Slides, video part 1, video part 2