Here is our selection for the computer science library and math
Deep learning and neural networks
Mathematics for Machine Learning
Linear Algebra and Optimization for Machine Learning
Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms
Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms
Artificial Intelligence for Humans, Volume 3: Deep Learning and Neural Networks
Clever Algorithms: Nature-Inspired Programming Recipes
Approaching (Almost) Any Machine Learning Problem
The Hundred-Page Machine Learning Book
Mathematics for Machine Learning
Artificial Intelligence: A Modern Approach, Global Edition
Programming language :
Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow
Julia Programming for Operations Research
Dynamic Programming for Coding Interviews
Programming practices:
Clean Architecture: A Craftsman's Guide to Software Structure and Design
Computational theories:
Introduction to Automata Theory, Languages, and Computation
Theory of Games and Economic Behavior
Game Theory 101: The Complete Textbook
Algorithmic:
Algorithms Illuminated: Part 1: The Basics
Algorithms Illuminated (Part 2): Graph Algorithms and Data Structures
Algorithms Illuminated (Part 3): Greedy Algorithms and Dynamic Programming
Algorithms Illuminated (Part 4): Algorithms for NP-Hard Problems
Operational research and optimization:
Julia Programming for Operations Research
Combinatorial Optimization: Algorithms and Complexity
Optimization Techniques in Operation Research
Optimization Techniques in Operation Research
Decision theory:
Mathematics for Science - Concepts, Methods and Techniques for Modeling
An Introduction to Decision Theory
Theory of Decision under Uncertainty
Decision Theory: Principles and Approaches
Stochastic:
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues
Markov chains - Corrected lessons and exercises
Introduction to Probability Models
Logic :
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