Math for Machine Learning

Math 295
Spring 2026
with professor Mark McClure

Handy links

• Syllabus
• Schedule
  • Outline
  • Calendar
• MyOpenMath
• Discourse
• Colab
• The Math Lab!
• Class presentations

Notes and notebooks

• Single parameter linear regression
• Using SageMath for linear algebra
• Implementation of Gauss-Jordan Elimination
• Some row reduction examples
• Matrix inverses
• Intro to Data
• Linear Regression
  • Theory and Practice
  • Massey Ratings
• Regression in practice
• Practical regression lab
• Logistic regression lab
• Eigenrating
• Power Iteration

Demos

• Digit recognizer
• Integration is hard!
• Riemann sums

Handouts

• Review for Exam I
• Review for Exam II
• Review for Exam III

import {logistic_regression_animation} from './components/logistic_regression_animation.js';
logistic_regression_animation(tf);