skip to main content
Opportunities
AI Bootcamp
Courses
Open Courses submenu
Math for AI - December 8-11, 2025
Intro to ML - October 13-17, 2025
Gaussian Processes - June 9-12, 2025
Transformers - February 3-6, 2025
Graphs in Machine Learning - December 2-6, 2024
Foundational Models - November 11-15, 2024
Introduction to ML - August 12-16, 2024
Reinforcement Learning - June 10-14, 2024
Physics Informed ML - April 1-4, 2024
ML Basics - February 19-23, 2024
Transformers - January 2-5, 2024
ML Intro - October 16-20, 2023
Resources
About
Events
Contact
Search
Search
Menu
Close
Courses
Open Courses submenu
Resources
About
Events
Contact
Opportunities
Courses
Back
Math for AI - December 8-11, 2025
Intro to ML - October 13-17, 2025
Gaussian Processes - June 9-12, 2025
Transformers - February 3-6, 2025
Graphs in Machine Learning - December 2-6, 2024
Foundational Models - November 11-15, 2024
Introduction to ML - August 12-16, 2024
Reinforcement Learning - June 10-14, 2024
Physics Informed ML - April 1-4, 2024
ML Basics - February 19-23, 2024
Transformers - January 2-5, 2024
ML Intro - October 16-20, 2023
Search
Search
Home
/ Resources
Resources
Linear Algebra Review and Reference
CMU Linear Algebra Notes
The Matrix Cookbook
Essence of Linear Algebra
Caltech courses: Ma1b, ACM104
Probability Theory
Brown University Seeing-Theory
Caltech courses: Ma3, ACM116, ACM157, ACM 158
Calculus
MIT Open Courseware
Caltech course: Ma1ac
Python
Python Data Science Handbook
Caltech course: CS1