Pen and Paper Exercises in Machine Learning
Michael U. Gutmann
Pattern Recognition and Machine Learning
Christopher M. Bishop
深入理解计算机系统
Randal E. Bryant
Elements of Programming Interviews: The Insiders' Guide
Adnan Aziz & Tsung-Hsien Lee & Amit Prakash
Proofs and Refutations: The Logic of Mathematical Discovery
Imre Lakatos
Entropy and Diversity: The Axiomatic Approach
Tom Leinster
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Computer Vision: Models, Learning, and Inference
Simon J. D. Prince
How to Prove It: A Structured Approach
Daniel J. Velleman
Filtering and System Identification: A Least Squares Approach
Michel Verhaegen & Vincent Verdult
Algorithms for Convex Optimization
Nisheeth K. Vishnoi
The Design of Approximation Algorithms
David P. Williamson & David B. Shmoys