This is an old revision of the document!
Week | Topic | Material | Reading | Assignments |
---|---|---|---|---|
Week 1: Jan 17 - Jan 20 | Overview. Intro to machine learning. Python. | 01 Course Overview, 02 Matrices and Plotting, | Text: Sections 1.1-1.5. Section 1 of Scipy Lecture Notes | |
Week 2: Jan 25 - Jan 29 | Probability distributions and regression. | 03 Linear Regression, 04 Gaussian Distributions, 05 Fitting Gaussians, 06 Probabilistic Linear Regression | Sections 4.1-4.2, 4.6-4.9, 5.8-5.9 | A1 Linear Regression due Friday, January 29th at 10:00 PM. Download and unzip A1 Grader.zip Here are five examples of good solutions: A1a, A1b, A1c, A1d, A1e |