Machine Learning Theory
Explore the mathematical foundations of Machine Learning: PAC learning, VC dimension, Rademacher complexity, SVM theory, kernel methods, boosting, regression and online learning. Based on "Foundations of Machine Learning" (MIT).
Course Content
Advanced ML Theory - Complete PDF
The ML theory reference manual. Mathematical foundations for researchers and engineers.
What you get
- 505 pages of rigorous theory
- Detailed mathematical proofs
- Graduate-level exercises
- 600K+ downloads
- Used at NYU and MIT
Free course vs PDF
Course details
- Chapters 8
- Lessons 8
- Level Advanced
- Quiz Included
Each lesson includes a quiz to test your knowledge as you progress.
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