A collection of books/notes for Math and Algorithm study. All files are in PDF format and saved in this repo. Books are collected from the internet. Some of them are my textbooks, and some of them are references I found particularly useful. Notes are written by myself. I hope these resources are helpful!
- Math Learning Resources
- Analysis
- Algebra
- Statistics
- Optimization - Math Learning Notes
- Algorithm Learning Resources
- Data Structure and Algorithms
- Machine Learning - Algorithm Learning Notes
- Introduction to Algorithm
- Graph Learning
- Transfer Learning
- Learning Theory
- Analysis I by Terence Tao
- Analysis II by Terence Tao
- Fourier Analysis: An Introduction by Elias M. Stein and Rami Shakarchi
- Algebra by Micheal Artin
- Linear Algebra by Kenneth Hoffmann And Ray Kunze
- Linear Algebra Done Right by Sheldon Axler and Kenneth Ribet
- The Matrix Cookbook by Kaare Brandt Petersen and Michael Syskind Pedersen
- A First Course in Probability by Sheldon Ross
- Probability and Random Processes by Geoffery Grimmett and David Stirzaker
- Mathematical Statistics and Data Analysis by John A. Rice
Coming soon...
- Information Theory, Inference, and Learning Algorithms by David J.C. MacKay
- Understanding Machine Learning from Theory to Algorithms by Shai Shalev-Shwartz and Shai Ben-David
- Introduction to Online Optimization by Sebastien Bubeck
- A Modern Introduction to Online Learning by Francesco Orabona
- Online Learning and Online Convex Optimization by Shai Shalev-Shwartz
- Prediction, Learning, and Games by Nicolo Cesa-Bianchi and Gabor Lugosi
- Bandit Algorithms by Tor Lattimore and Csaba Szepesvári