Library

Here is our selection for the computer science library and math

library

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

When the machine learns

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

The C Programming Language

Programming in Python

Programming practices:

Design Patterns

Clean Code

The Pragmatic Programmer

UML Distilled: A Brief Guide

UML 2.5 in practice

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

Introduction to Graph Theory

Algorithmic:

Introduction to Algorithms

Algorithms

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

Algorithms for Optimization

Convex Optimization

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 Chain Monte Carlo

Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues

Markov chains - Corrected lessons and exercises

Markov Chains

Introduction to Probability Models

Logic :

Mathematical logic - Volume 1

Mathematical logic - Volume 2

 

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