MLRMachine Learning Refined
HomeNotebooksChaptersInstructorsReviews
HomeNotebooksChaptersInstructorsReviews
Machine Learning Refined second edition cover

Resource context

Use the resource index when you already know which PDFs, notebooks, exercises, slides, or roadmaps you need.

Source repositoryBrowse the complete resource collection.Figure assetsOpen the companion visual asset repository.Roadmap guideSee how to use the book paths.

Canonical resource index

Resources

Jump straight to source-backed PDFs, notes, notebooks, exercises, slides, and roadmap guidance. Use Chapters for the guided path; use Resources when you already know what you need.

Open source repositoryOpen figure assets
PDFs

Chapter PDFs

Sample chapters and book PDFs linked back to the canonical GitHub repo.

Best for reading offline or assigning chapter excerpts.

Open resource
Notes + notebooks

Colab and Jupyter notebooks

Interactive notes for optimization, regression, classification, clustering, and neural networks.

Best for moving from the page into runnable examples.

Open resource
Practice sets

Exercises

Exercise wrappers and datasets for hands-on Python practice.

Best for homework, labs, and self-checks.

Open resource
Course materials

Slides and roadmaps

Instructor-facing presentations and recommended study paths for different courses.

Best for planning a syllabus or lecture sequence.

Open resource

Book links

  • GitHub repository
  • |Amazon
  • |Cambridge

Authors

Jeremy Watt

  • GitHub
  • |Personal website
  • |LinkedIn

Reza Borhani

  • LinkedIn

Aggelos Katsaggelos

  • LinkedIn
  • |Northwestern University

© 2026 Jeremy Watt