Computer Science 375: Machine Learning
Spring 2026
Administrivia
- Instructor: Phillip Kirlin
- Office hours: Mon 10-11:30, Tue 12:30-2, Wed 11-12, Thu 2-3. Also available by appointment.
- Canvas page: Use for grades, online assignment submissions, and assignment solutions.
Syllabus and additional policies.
Course Calendar
- Thu, Jan 15
- Introduction
- Tue, Jan 20
- Machine learning overview
- Thu, Jan 22
- Linear regression I
- Notebooks:
linear-regression-1 - Notebooks:
- Tue, Jan 27
- Linear regression II
- Recording
- Notebooks:
linear-regression-2- Thu, Jan 29
- Numpy lab, linear regression lab
- Recording
- Notebooks:
numpy-lab,linear-regression-lab- Tue, Feb 3
- Linear regression III
- Notebooks:
linear-regression-3- Project Project 1, due Thu, Feb 12
- Notebooks:
- Thu, Feb 5
- Finish linear regression, start logistic regression
- Notebooks:
logistic-regression-1 - Notebooks:
- Tue, Feb 10
- Logistic regression II
- Notebooks:
logistic-regression-2 - Notebooks:
- Thu, Feb 12
- Logistic regression III
- Tue, Feb 17
- Regularization
- Project Project 2A, due Thu, Feb 26
- Thu, Feb 19
- Class canceled
- Tue, Feb 24
- Neural networks
- Notebooks:
nn-1 - Notebooks:
- Thu, Feb 26
- Review for midterm
- Tue, Mar 3
- Midterm
- Thu, Mar 5
- Neural networks
- Tue, Mar 10
- Spring break
- Thu, Mar 12
- Spring break
- Tue, Mar 17
- Backpropagation
- Project Project 2A, due Thu, Mar 24
- Thu, Mar 19
- Finish backprop, introduce PyTorch
- Tue, Mar 24
- Thu, Mar 26
- Tue, Mar 31
- Thu, Apr 2
- Tue, Apr 7
- Thu, Apr 9
- Tue, Apr 14
- Thu, Apr 16
- Tue, Apr 21
- Thu, Apr 23
- Tue, Apr 28
- Thu, Apr 30