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Table of Contents
Schedule
Announcements
Here is a link to all of our lecture video recordings.
January
| Week | Topic | Material | Reading | Assignments |
|---|---|---|---|---|
| Week 1: Jan 17 - Jan 20 | Overview. Intro to machine learning. Python. | 01 Course Overview, 02 Matrices and Plotting, | The Great A.I. Awakening, by Gideon Lewis-Krause, NYT, Dec 14, 2016. Section 1 of Scipy Lecture Notes | |
| Week 2: Jan 23 - Jan 27 | Probability distributions and regression. | 03 Linear Regression, 04 Gaussian Distributions, 05 Fitting Gaussians, 06 Probabilistic Linear Regression |
February
| Week | Topic | Material | Reading | Assignments |
|---|---|---|---|---|
| Week 3: Jan 30 - Feb 3 | Ridge regression. Data partitioning. On-line, incremental regression. Regression with fixed nonlinearities. | A1 Linear Regression due Monday, January 30th at 10:00 PM. |
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