CS145 Discussion 1B
CS145 Discussion 1B
Instructor: Yizhou Sun
Time & Location: TR 10:00 ~ 11:50 AM, Young Hall CS25
Page: https://github.com/yichousun/Fall2021_CS145_IntroDM
Time & Location: F 10:00~11:50 AM, Royce Hall 160
Yewen Wang: 4th-year Ph.D. student of CS
Email: wyw10804 AT gmail DOT com, please check the email policy before emailing me
Office Hour: Wednesday 9 :00-10:00 am @ BH3551 Conference Room, 10:00-11:00 @ Zoom
Since this course and this discussion are no longer active, materials are only available upon request.
Week0 (Sep.24): Introduction, Math Review, and Google Colab Setup [slide]
Week1 (Oct.01): Linear Regression, Logistic Regression [slide]
Week2 (Oct.08): Decision Tree [slide]
Week3 (Oct.15): Neural Networks, Classification Evaluation, K-means [slide]
Week4 (Oct.22): Gaussian Mixture Model, Clustering [slide]
Week5 (Oct.29): Topic Model, pLSA, Midterm Review [slide]
Week6 (Nov.05): Time Series Data [slide]
Week7 (Nov.12): Midterm Explanation (no slides)
Week8 (Nov.19): Set Data: Frequent Pattern Mining, Association Rules [slide]
Week9 (Nov.26): Holiday (Thanks Giving)
Week10 (Dec.3): Sequential Pattern Mining, Graph [slide]