Note: This course is currently active and updated.
Course name: Introduction to Data Mining
Instructor: Yizhou Sun
Lecture time & location: Lec 1, Monday/Wednesday 10am-11:50am (Los Angeles), Online (Recorded, Zoom links provided for enrolled students).
Course website: https://sites.google.com/view/cs145fall2020/home
Zoom Link: Please find on CCLE for enrolled students.
TA: Junheng Hao
TA office hours: 8:30-10:30am Thursdays (US Pacific/Los Angeles)
Contact: haojh [DOT] ucla [AT] gmail [DOT] com (for CS145 only, and please add “CS145” in the subject of the email) Note: Please do NOT send to other emails.
Discussion Info (Dis 1C, instructed by Junheng)
Time: Fridays 10am-11:50am
Location: Online (Recorded, Zoom links provided on CCLE for enrolled students)
Recording: Video resource available on CCLE under the section of each week, named “WeekX_Dis1C_Junheng”
[Sept. 30] Welcome to CS145: Introduction to Data Mining. Greetings from Week 0!
[Oct. 1] There is no discussion session on Oct. 2 (Week 0). Instruction/Lectures starts on Oct. 5 (Monday, Week 1)
[Oct. 5] Course website is here. Please check the class schedule and logistics.
[Oct. 12] HW1 is released on CCLE and due on 11:59pm PT, Oct 19 (Monday, Week 3).
[Oct. 13] Project guideline is rleased on course website (and CCLE as well).
[Oct. 16] Register the team for the course project by the end of Week 2 (Fri 16 Oct, 2020) with member information.
[Oct. 22] HW2 is released on CCLE and due on 11:59pm PT, Oct 30 (Friday, Week 4).
[Oct. 29] HW3 is released on CCLE and due on 11:59pm PT, Nov 9 (Monday, Week 6).
[Oct. 29] Midterm project report and Kaggle submission are due on 11:59pm PT, Nov 11 (Wednesday, Week 6).
[Nov. 12] HW4 is released on CCLE and due on 11:59pm PT, Nov 20 (Friday, Week 7).
[Nov. 23] [New] There is no discussion session on Nov. 27 (Week 8). Happy Thanksgiving holiday!
|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|
Supplemental materials from other Fall 2020 CS1452 TAs:
- Please check posts of discussion materials under the section of each week on CCLE.