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COMP 375: Machine Learning

Spring 2025

Administrivia

  • Instructor: Phillip Kirlin
  • Office hours: Mon 3:30-4:45, Tue/Thu 11-12:15, Wed 9:30-10:45 in Briggs 209. Also available by appointment.
  • Canvas page: Use for grades, online assignment submissions, and assignment solutions.
  • Syllabus and additional policies.
  • Sign up for the CS Slack!

Notes

Calendar

Thu, Jan 16
Introduction
Tue, Jan 21
Machine learning overview
Thu, Jan 23
Linear regression
Notebooks: linear-regression-1
Tue, Jan 28
Linear regression
Notebooks: linear-regression-2
Thu, Jan 30
Linear regression
Notebooks: linear-regression-3
Tue, Feb 4
Finish linear regression, start logistic regression
Notebooks: logistic-regression-1
Project Project 1, due Thursday, Feb 13
Thu, Feb 6
Logistic regression
Notebooks: logistic-regression-2
Tue, Feb 11
Finish logistic regression
Notebooks: logistic-regression-3
Thu, Feb 13
Regularization
Notebooks: regularization
Project Project 2, due Tue, Feb 25
Tue, Feb 18
Neural networks
Notebooks: nn-1
Thu, Feb 20
TBA
Tue, Feb 25
TBA
Thu, Feb 27
TBA
Tue, Mar 4
TBA
Thu, Mar 6
TBA
Tue, Mar 11
TBA
Thu, Mar 13
TBA
Tue, Mar 18
TBA
Thu, Mar 20
TBA
Tue, Mar 25
TBA
Thu, Mar 27
TBA
Tue, Apr 1
TBA
Thu, Apr 3
TBA
Tue, Apr 8
TBA
Thu, Apr 10
TBA
Tue, Apr 15
TBA
Thu, Apr 17
TBA
Tue, Apr 22
TBA
Thu, Apr 24
TBA
Tue, Apr 29
TBA
Thu, May 1
TBA


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