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Video of the lectures will be available via the echo360 portal of the course
Topics | Reading | Assignments | |
---|---|---|---|
Week 1: August 25,27 | |||
Tuesday | Course introduction ( slides). | Sections 1.1 and 1.2 in the textbook | |
Thursday | Course introduction (continued). Linear models and the perceptron algorithm ( slides) | Chapters 1,3.1 in the textbook | |
Week 2: September 1,3 | |||
Tuesday | Linear models (continued). Short intro to python [ notes ] | Chapters 1,3.1 in the textbook | Assignment 1 is available. Due date: 9/15. |
Thursday | More Python; code for the perceptron. Linear regression ( slides) | Chapter 3.2 | |
Week 3: September 8,10 | |||
Tuesday | Linear regression (continued). Intro to latex | Chapter 3.2 | |
Thursday | Logistic regression ( slides) | Chapter 3.3 | |
Week 4: September 15,17 | |||
Tuesday | Overfitting ( slides) | Chapters 2.3,4.1 in the textbook | |
Thursday | Regularization | Chapter 4.2, 4.2.2 |