Why Greatness Cannot Be Planned: The Myth of the Objective
Kenneth O. Stanley & Joel Lehman
Elements of Programming Interviews: The Insiders' Guide
Adnan Aziz & Tsung-Hsien Lee & Amit Prakash
Measurement
Paul Lockhart
Hyperparameter Optimization in Machine Learning
Luca Franceschi
Proofs and Refutations: The Logic of Mathematical Discovery
Imre Lakatos
Information Theory, Inference and Learning Algorithms
David J. C. MacKay
The Design of Approximation Algorithms
David P. Williamson & David B. Shmoys
Computer Vision: Models, Learning, and Inference
Simon J. D. Prince
Filtering and System Identification: A Least Squares Approach
Michel Verhaegen & Vincent Verdult
How to Prove It: A Structured Approach
Daniel J. Velleman
Entropy and Diversity: The Axiomatic Approach
Tom Leinster
Algorithms for Convex Optimization
Nisheeth K. Vishnoi