Collection of Problems in Probability Theory
L. D. Meshalkin
Proof and the Art of Mathematics: Examples and Extensions
Joel David Hamkins
Measurement
Paul Lockhart
Pattern Recognition and Machine Learning
Christopher M. Bishop
Algorithms for Convex Optimization
Nisheeth K. Vishnoi
Entropy and Diversity: The Axiomatic Approach
Tom Leinster
How to Prove It: A Structured Approach
Daniel J. Velleman
Filtering and System Identification: A Least Squares Approach
Michel Verhaegen & Vincent Verdult
Computer Vision: Models, Learning, and Inference
Simon J. D. Prince
The Design of Approximation Algorithms
David P. Williamson & David B. Shmoys
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
Proofs and Refutations: The Logic of Mathematical Discovery
Imre Lakatos