List-of-Interesting-Books
Some Interesting Books/Open courses I have read during my Ph.D. study are stored here (To avoid copyright problems, only names will be provided)
This is somehow just a memo:)
The List
The classifications & names are not very rigorous, Whatever:)
Statistics
李航，统计学习方法
Larry Wasserman, All of Statistics
Andrew Gelman, Bayesian Data Analysis
Ma Yi, High-Dimensional Data Analysis
Keener, Theoretical Statistics
Efron, Computer Age Statistical Inference
Sara van de Geer, Empirical Process Theory (God, it's just soooo difficult, I will revisist it someday)
CUHK STAT3009: Recommender System
UCB STAT210B: Theoretical Statistics II (By Peter Bartlett)
Yale SDS610: Statistical Inference (Last chapter very interesting, needs revising for many times)
Mathematics
Evans, Introduction to Stochastic Differential Equation
John Conway, Functional Analysis
Rick Durrett, Probability: Theory and Examples
Do Carmo, Differential Geometry of Curves and Surfaces
Yeung Wai-Ho, Information Theory and Network Coding
Roman Vershynin, High-Dimensional Probability
Computer Science
邱锡鹏，神经网络与深度学习
William L. Hamilton Graph Representation Learning
Literatures (Fantasy, Fiction, etc)
尼尔·盖曼，美国众神
乔治·R·R·马丁, 七王国的骑士
艾萨克·阿西莫夫，神们自己