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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

Demos

  • Digit recognizer
  • Integration is hard!
  • Riemann sums

Handouts

  • Review for Exam I
  • Review for Exam II
import {logistic_regression_animation} from './components/logistic_regression_animation.js';
logistic_regression_animation(tf);
 

Written, owned, hosted, and copyright 2025, Mark McClure