Computer Science and Hacking


Introduction To Machine Learning (Adaptive Computation and Machine Learning)
Computational Aerodynamics (Cambridge Aerospace Series)
Think Before You Compute: A Prelude to Computational Fluid Dynamics (Cambridge Texts in Applied Mathematics, Series Number 61)
How to Think About Algorithms
Cryptography Engineering: Design Principles and Practical Applications
Serious Cryptography, 2nd Edition: A Practical Introduction to Modern Encryption
Computer Vision: Algorithms and Applications (Texts in Computer Science)
Computational Topology for Data Analysis
Distributional Reinforcement Learning (Adaptive Computation and Machine Learning)
Finite Difference Computing with PDEs: A Modern Software Approach (Texts in Computational Science and Engineering Book 16)
Professional C++
Machine Learning with R
Modern Fortran: Building efficient parallel applications
Practical Julia: A Hands-On Introduction for Scientific Minds
50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography