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 - Notebooks:
- Tue, Jan 28
- Linear regression
- Notebooks:
linear-regression-2 - Notebooks:
- Thu, Jan 30
- Linear regression
- Notebooks:
linear-regression-3 - Notebooks:
- Tue, Feb 4
- Finish linear regression, start logistic regression
- Notebooks:
logistic-regression-1- Project Project 1, due Thursday, Feb 13
- Notebooks:
- Thu, Feb 6
- Logistic regression
- Notebooks:
logistic-regression-2 - Notebooks:
- Tue, Feb 11
- Finish logistic regression
- Notebooks:
logistic-regression-3 - Notebooks:
- Thu, Feb 13
- Regularization
- Notebooks:
regularization- Project Project 2A, due Tue, Feb 25
- Notebooks:
- Tue, Feb 18
- Neural networks
- Notebooks:
nn1 - Notebooks:
- Thu, Feb 20
- Neural networks
- Notebooks:
nn2 - Notebooks:
- Tue, Feb 25
- Backpropagation
- Notebooks:
backprop - Notebooks:
- Thu, Feb 27
- Review for midterm
- Tue, Mar 4
- Midterm I
- Project Project 2B, due Wed, Mar 19
- Thu, Mar 6
- Backpropagation
- Notebooks:
backprop2 - Notebooks:
- Tue, Mar 11
- Spring break
- Thu, Mar 13
- Spring break
- Tue, Mar 18
- Decision trees
- Notebooks:
trees1 - Notebooks:
- Thu, Mar 20
- Decision trees
- Notebooks:
trees2 - Notebooks:
- Tue, Mar 25
- Decision trees
- Notebooks:
trees3 - Notebooks:
- Thu, Mar 27
- k nearest neighbors
- Notebooks:
k-nearest-neighbors - Notebooks:
- Tue, Apr 1
- k means
- Notebooks:
k-means - Notebooks:
- Thu, Apr 3
- Anomaly detection
- Project Project 3, due Tue, Apr 15
- Notebooks:
anomaly - Project Project 3, due Tue, Apr 15
- Tue, Apr 8
- Evaluation
- Notebooks:
evaluation - Notebooks:
- Thu, Apr 10
- Finish evaluation, start convolutional neural networks
- Tue, Apr 15
- Convolutional neural networks
- Slides
- Thu, Apr 17
- Easter break
- Tue, Apr 22
- Review
- Thu, Apr 24
- Midterm II
- Tue, Apr 29
- Course evaluations, work time for final project
- Thu, May 1
- Presentations
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