Asia/Hong_Kong
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Mathematics
Computer Science
Machine Learning-Related
Resources I find useful.
Listed in alphabetical order by authors' surnames.
Mathematics
Linear Algebra Done Right
Sheldon Axler
Measure, Integration & Real Analysis
Sheldon Axler
Convex Optimization
Stephen Boyd & Lieven Vandenberghe
Elements of Information Theory
Thomas M. Cover & Joy A. Thomas
A First Course in Probability
Sheldon Ross
Principles of Mathematical Analysis
Walter Rudin
Computer Science
Learn C++
C++
The Cherno
Machine Learning-Related
Neural Networks: Zero to Hero
Andrej Karpathy
Computational Optimal Transport
Gabriel Peyré & Marco Cuturi
Understanding Machine Learning: From Theory to Algorithms
Shai Shalev-Shwartz & Shai Ben-David