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Week Topic/Activity Assignment

3.1

Introduction
Linear regression; Gradient descent Start A1

3.2

Clustering; Nearest neighbor classification
Group work on A1

3.3

Group work on A1
Bayesian classification; Logistic regression
Group work on A1

3.4

Group work on A1
Support vector machine Due A1; Start A2
Group work on A2

3.5

Group work on A2
Decision trees; Random forest

3.6

Group work on A2
Neural networks
Lab exercise

3.7

Lab exercise
Deep learning Due A2
Lab exercise
3.8
Discussion of feedback on assignments; Q&A
3.9
No lecture. Self study (prepare for the final exam)
3.10 Final exam
4.9 Resit

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