CSE446 - Machine Learning

Sewoong Oh
University of Washington

Instruction Times

AA Thursdays 8:30-9:20, MGH 238, Instructor: Leo Liu
AB Thursdays 9:30-10:20, MUE 154, Instructor: Michael Zhang
AC Thursdays 10:30-11:20, CMU B006, Instructor: Romain Camilleri
AD Thursdays 11:30-12:20, MEB 238, Instructor: Sam Gao and Anirudh Canumalla
AE Thursdays 12:30-1:20, ECE 042, Instructor: Eric Chan and Ivan Montero

9.26 Probability, Linear Algebra, Python
- Run this Python tutorial yourself, if you are not already familiar: runnable notebook, notebook in html, slides
- Probability: exercise, solution
- Linear algebra summary: runnable notebook, notebook in html

10.03 Linear Algebra, Maximum Likelihood Estimator, and HW0
- MLE: note, exercise solution, .ipynb demo

10.10 Bias variance tradeoff
- note, exercise solution

10.17 Convexity and gradient descent
- note, exercise solution

10.24 (Review for Midterm)
- note, exercise solution

10.31 (Extended office hours in preparation for MidTerm on Nov 1st)

11.07 PCA
- note, exercise solution
- demo: .ipynb, .html

11.14 SVD
- note, exercise solution
- demo: .ipynb, .html

11.21 PyTorch
- demo: .ipynb, .html

11.28 (No section)

12.05 (Review for Final) note exercise solution