CMPUT 296 (Fall 2020)

Basics of Machine Learning

Schedule

This schedule is subject to change as the semester progresses, but it will be kept up to date. Slides are linked from the lecture title. They will be made available on the day of the lecture. Talk recordings are available on eClass.

wk Date Topic Milestones
1 Tue, Sep 1 Introduction to the Course Ch.1
1 Thu, Sep 3 Probability §2.1–2.2
Assignment #1 released
Thought questions #1: Ch.1–3 from the notes
2 Tue, Sep 8 Multivariate probability §2.2–2.4
2 Thu, Sep 10 Estimation: Sample Averages, Bias, and Concentration Inequalities §3.1–3.3
3 Tue, Sep 15 Estimation: Sample Complexity and the Bias-Variance Tradeoff §3.4–3.5
3 Thu, Sep 17 Introduction to Optimization §4.1–4.4
Thought questions #1 due
Thought questions #2: Ch.4–6 from the notes
4 Tue, Sep 22 Formalizing Parameter Estimation §5.1
4 Thu, Sep 24 Bayesian Estimation & Conditional Models §5.2–5.3
Assignment #1 due
Assignment #2 released
5 Tue, Sep 29 Prediction & Optimal Predictors §6.1–6.2
5 Thu, Oct 1 Linear Regression §7.1
Add/drop deadline: Oct 5
6 Tue, Oct 6 Review  
6 Thu, Oct 8 In-class Quiz Thought questions #2 due
Thought questions #3: Ch.7–9 from the notes
7 Tue, Oct 13 Solving Linear Regression & Polynomial Regression §7.2–7.4
7 Thu, Oct 15 Generalization Error and Overfitting §8.1–8.2
8 Tue, Oct 20 Evaluation of Learned Models and Hypothesis Testing §8.3
8 Thu, Oct 22 Regularization §9.1
Assignment #2 due
Assignment #3 released
9 Tue, Oct 27 Midterm Review  
9 Thu, Oct 29 Midterm on eClass  
10 Tue, Nov 3 The Bias-Variance Tradeoff §9.2–9.3
10 Thu, Nov 5 Logistic Regression and Classification Thought questions #3 due
Thought questions #4: Ch.10–11 from the notes
  Tue, Nov 10 Fall Reading Break, NO CLASS  
  Thu, Nov 12 Fall Reading Break, NO CLASS  
11 Tue, Nov 17 Logistic Regression and Classification cont.  
11 Thu, Nov 19 Bayesian Linear Regression  
12 Tue, Nov 24 Generalization Bounds  
12 Thu, Nov 26 Generalization Bounds cont. Thought questions #4 due
13 Tue, Dec 1 Review class and Q&A (last class)  
13 Thu, Dec 3 Extra office hours Assignment #3 due