Note: Due dates of exams/quizzes will not move, however the timeline of topics and smaller assignments might be updated throughout the semester. There will not likely be any videos with this course, so please ignore these for the moment, however, these may be utilized in future versions of the course. Also, the webpage and materials are currently under development and will be updated during the semester.
Date
Lesson
Slides
Slides
Video
HW
Misc
Reading
Week 00 (Due before 1st Day of Class)
Wed., Aug 28
Module 0/1: Welcome to STA 325
Fri, August 30
Module 2: Introduction to Machine Learning and Data Cleaning
Fri, August 30
Homework 1
Week 01
Wed., Sept. 4
Module 3: Deterministic Blocking
Fri., Sept. 6
Module 3: Deterministic Blocking
Fri., Sept. 6
Homework 2
Week 02
Wed., Sep. 11
Module 4: Probabilistic Blocking
Fri., Sep. 13
Module 4: Probabilistic Blocking
Fri., Sep 13
Homework 3
Week 03
Wed. Sep 18
Module 4: In Class Review of LSH and HW 3
Fri., Sep. 20
Module 5: Intro to Classical Entity Resolution
Fri, Sep. 20
Week 04
Wed., Sep 25
Module 5: Mixture Models, FS, and the EM Algorithm
Fri, Sep 27
Module 5: Mixture Models, FS, and the EM Algorithm
Fri, Sep 27
Week 05
Wed., Oct 2
Exam I (Take Home)
Fri, Oct. 4
Exam I (Take Home)
Fri, Oct. 4
Exam I (Take Home)
Week 06
Wed, Oct 9.
Module 5: Clustering, Mixture Models, and the EM Algorithm
Fri, Oct 11
Module 5: Clustering, Mixture Models, and the EM Algorithm
Fri, Oct 11
Week 07
Wed. Oct 16
Module 6: k-means clustering
Fri, Oct. 18
Module 6: k-means clustering (continued)
Fri, Oct. 18
Work on Exercises (not to be graded)
Week 08
Mon., Oct. 21
Applications to Entity Resolution
Wed, Oct. 23
Module 6: hierachical clustering
Fri, Oct 25
Office Hours in Class With Athena (Old Chem 216)
Week 09
Wed., Oct. 30
Module 6: choosing number of clusters
Fri., Nov. 1
Module 6: Work on Exercises
Fri., Nov. 1
Week 10
Wed., Nov. 6
Clustering Exercises
Fri., Nov. 8
Ted Edmorando Lecture on Mixture Models (Gross Hall)