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Introduction to Machine Learning

This documentation is designed to be an additional resource for students and a reliable, interactive knowledge base for anyone interested in machine learning (ML). It covers the content from the University of Alberta's courses:

  • CMPUT 566 - Machine Learning Essentials, instructed by Professor Lili Mou;
  • CMPUT 467/504 - Machine Learning II, instructed by Professor Martha White;
  • CMPUT 267 - Machine Learning I, for which I have served as a teaching assistant under Professor Dieter Büchler.

References​

  1. Stanford - CS229: Machine Learning (2023)
    Lecture Notes (PDF) by Professors Andrew Ng and Tengyu Ma.

  2. University of Alberta - CMPUT 367: Basics of Machine Learning (2024)
    Lecture Notes (PDF) by Professor Martha White.

  3. University of Alberta - CMPUT 504: Machine Learning II (2025)
    Lecture Notes (PDF) by Professor Martha White.

  4. Ian Goodfellow, Yoshua Bengio & Aaron Courville (2016). Deep Learning.

  5. Kevin P. Murphy (2022). Probabilistic Machine Learning: An introduction.

Last updated on by Lucas Cruz