CS145 (Fall 2020) Discussion Materials

This course is currently inactive and this site will be no longer updated since December 16, 2020. Slides are available publicly.

Course Info

TA Info

Discussion Info (Dis 1C, instructed by Junheng)

Announcements

Discussion Materials

Date Content Slides & Links
Oct. 9 Course overview, math prep, linear regression, programming prep for homework Slides Week 1, Slides Week 1 (Math), Python & Jupyter Notebook (Intro)
Oct. 16 Review: Linear regression (cont’d), logistic regression Slides Week 2
Oct. 23 Review: Decision tree, SVM Slides Week 3, SVM Notes from Stanford, SVM Slides from NYU
Oct. 30 Review: SVM, Neural Netoworks, KNN Slides Week 4
Nov. 6 Review: Classification, Clustering Slides Week 5
Nov. 13 Gaussian mixture model, Midterm Review Slides Week 6, Other
Nov. 20 Post-Midterm Review and Discussion No slides (Recordings available on CCLE)
Nov. 27 No discussion session (Thanksgiving holiday) N/A
Dec. 4 Frequent Pattern Mining and Association Rules, Sequential Pattern Mining, DTW Slides Week 9
Dec. 11 Naive Bayes, Topic Modeling, Final Review Slides Week 10

Additional Resources

Supplemental materials from other Fall 2020 CS145 TAs: