COMP 375: Machine Learning

Name: Machine Learning Spring 2025
Author: Phil Kirlin

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 2A, due Tue, Feb 25
Tue, Feb 18: Neural networks; Notebooks: nn1
Thu, Feb 20: Neural networks; Notebooks: nn2
Tue, Feb 25: Backpropagation; Notebooks: backprop
Thu, Feb 27: Review for midterm
Tue, Mar 4: Midterm I; Project Project 2B, due Wed, Mar 19
Thu, Mar 6: Backpropagation; Notebooks: backprop2
Tue, Mar 11: Spring break
Thu, Mar 13: Spring break
Tue, Mar 18: Decision trees; Notebooks: trees1
Thu, Mar 20: Decision trees; Notebooks: trees2
Tue, Mar 25: Decision trees; Notebooks: trees3
Thu, Mar 27: k nearest neighbors
Tue, Apr 1: k means
Thu, Apr 3: Anomaly detection; Project Project 3, due Tue, Apr 15
Tue, Apr 8: Evaluation
Thu, Apr 10: TBA
Tue, Apr 15: TBA
Thu, Apr 17: Easter break
Tue, Apr 22: Review
Thu, Apr 24: Midterm II
Tue, Apr 29: TBA
Thu, May 1: Presentations

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