Books / AI and ML

AI and ML

All Programming languages 1843AI and ML 865Software Development 593Algorithms and theory 547WEB development 462DevOps and Infrastructure 330Other 257Cybersecurity 232OS and System 206Game development 186Databases 157Embedded systems 150IT management 108
All Data Science 290Machine learning 167LLM 125Neural networks 96Computer Vision 41ChatGPT 39TensorFlow 30PyTorch 22Natural Language Processing 20MLOps 18熊猫 9AI Agents 1
All 2026 652025 1162024 1732023 1282022 552021 452020 672019 372018 302017 162016 212015 262014 72013 52012 32011 42010 12009 32008 22007 22000 11994 1
EN
From Prototypes to Production: A 90-Day Playbook for Shipping Enterprise AI

From Prototypes to Production: A 90-Day Playbook for Shipping Enterprise AI

A

Luise Freese

AI and ML
RU
Prompt Engineering and Working with LLMs. How to Talk to Artificial Intelligence

Prompt Engineering and Working with LLMs. How to Talk to Artificial Intelligence

A

Kamil Gadeev

AI and ML
EN
Mastering the Microsoft Agent Framework: Building Enterprise AI Agents with .NET

Mastering the Microsoft Agent Framework: Building Enterprise AI Agents with .NET

A

Sarat Piridi

AI and ML
RU
Vibe Coding: Programming with Artificial Intelligence

Vibe Coding: Programming with Artificial Intelligence

A

Eddie Osmani

AI and ML
EN
Breaking the Model Context Protocol: Agentic Attacks and Defenses for MCP-Powered AI Systems

Breaking the Model Context Protocol: Agentic Attacks and Defenses for MCP-Powered AI Systems

A

Thejes sree Satheesh kumar, Srinivasan Sekar

AI and ML
EN
AI Agents: The Definitive Guide

AI Agents: The Definitive Guide

A

Nicole Koenigstein

AI and ML
RU
LLM in Practice. Large Language Models from Idea to Implementation

LLM in Practice. Large Language Models from Idea to Implementation

A

Yustin Paul, Maxim Labonne

AI and ML
EN
Authorization in Action: Build policy-based access control for zero trust, APIs, SaaS, and AI agents

Authorization in Action: Build policy-based access control for zero trust, APIs, SaaS, and AI agents

A

Phillip J. Windley

AI and ML
EN
Build an AI Agent (From Scratch): Agents that reason, plan, and act autonomously

Build an AI Agent (From Scratch): Agents that reason, plan, and act autonomously

A

Jungjun Hur, Younghee Song

AI and ML
EN
Linear Algebra for Data Science with Python

Linear Algebra for Data Science with Python

A

John M. Shea

AI and ML
EN
Microsoft Agent Framework in Practice: Build, orchestrate, and scale production-grade AI agents with Python, .NET, MCP tools, and cloud-ready workflows

Microsoft Agent Framework in Practice: Build, orchestrate, and scale production-grade AI agents with Python, .NET, MCP tools, and cloud-ready workflows

A

Daniel S. Scott

AI and ML
RU
AI Assistants in Python: Applying LLM, GPT, RAG in Practice + Virtual Disk with Ready Bots and Examples

AI Assistants in Python: Applying LLM, GPT, RAG in Practice + Virtual Disk with Ready Bots and Examples

A

Vorobiev M. S.

AI and ML
EN
Python Automation Cookbook, Third Edition

Python Automation Cookbook, Third Edition

A

Jaime Buelta

AI and ML
EN
Python Data Analysis

Python Data Analysis

A

Avinash Navlani, Cornellius Yudha Wijaya

AI and ML
EN
Generative AI for Business Innovation: A Practical Guide for Leadership to Realize Business Value with Generative AI

Generative AI for Business Innovation: A Practical Guide for Leadership to Realize Business Value with Generative AI

A

Brajesh De

AI and ML
EN
AI Agent Mastery with Claude AI: A Practical Guide to Building Smart Systems That Plan, Reason, and Execute

AI Agent Mastery with Claude AI: A Practical Guide to Building Smart Systems That Plan, Reason, and Execute

A
AI and ML
EN
Observability for Large Language Models: Site Reliability and Chaos Engineering for AI at Scale

Observability for Large Language Models: Site Reliability and Chaos Engineering for AI at Scale

A

Ankush Sharma

AI and ML
EN
A Beginner's Guide to Generative AI: An Introductory Path to Diffusion Models, ChatGPT, and LLMs

A Beginner's Guide to Generative AI: An Introductory Path to Diffusion Models, ChatGPT, and LLMs

A

Deepshikha Bhati, Fnu Neha, Angela Guercio, Md Amiruzzaman, Aloysius Bathi Kasturiarachi

AI and ML
EN
Large Language Model Recipes: A Hands-On Guide to Fine-Tuning, Optimization, Deployment, and Real-World Applications

Large Language Model Recipes: A Hands-On Guide to Fine-Tuning, Optimization, Deployment, and Real-World Applications

A

Bharath Kumar Bolla, Kalpa Subbaiah, Sashi Kiran Kaata

AI and ML
EN
Getting Started with Visual Studio 2026: Master the New Era of Visual Studio, AI, and Productivity

Getting Started with Visual Studio 2026: Master the New Era of Visual Studio, AI, and Productivity

A

Gerald Versluis

AI and ML
EN
Microsoft Fabric Analytics Engineer Associate Study Guide: Hands-On Practice and Expert Tips for Acing the DP-600 Certification Exam

Microsoft Fabric Analytics Engineer Associate Study Guide: Hands-On Practice and Expert Tips for Acing the DP-600 Certification Exam

A

Brian Bønk and Valerie Junk

AI and ML
EN
Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications

Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications

A

Ofer Mendelevitch, Forrest Sheng Bao

AI and ML
EN
Python for Excel: A Modern Environment for Automation and Data Analysis

Python for Excel: A Modern Environment for Automation and Data Analysis

A

Felix Zumstein

AI and ML
EN
Data Pipelines with Apache Airflow: Orchestration for Data and AI, Second Edition

Data Pipelines with Apache Airflow: Orchestration for Data and AI, Second Edition

A

Julian de Ruiter, Ismael Cabral, Kris Geusebroek, Daniel van der Ende, Bas Harenslak

AI and ML
EN
Building Complex Multi-Agent Systems Using Pattern Prompting

Building Complex Multi-Agent Systems Using Pattern Prompting

A

Tim O'Brien

AI and ML
EN
The Copilot Compass: Navigating Copilot and Agents in Microsoft 365

The Copilot Compass: Navigating Copilot and Agents in Microsoft 365

A

April Dunnam

AI and ML
EN
Data Engineering for Beginners

Data Engineering for Beginners

A

Chisom Nwokwu

AI and ML
EN
Numeric Python: Python Data Analysis with NumPy, Pandas, and Matplotlib

Numeric Python: Python Data Analysis with NumPy, Pandas, and Matplotlib

A

Bernd Klein

AI and ML
EN
Introduction to Psychophysics with Python

Introduction to Psychophysics with Python

A

Rakesh Sengupta, Maganti Madhavilatha

AI and ML
EN
BiteSize Python for Intermediate Learners: With Practice Labs, Real-World Examples, and Generative AI Assistance

BiteSize Python for Intermediate Learners: With Practice Labs, Real-World Examples, and Generative AI Assistance

A

Di Wu

AI and ML
EN
RAG with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents

RAG with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents

A

Dominik Polzer

AI and ML
RU
Fundamentals of GraphRAG. Enhanced RAG Based on Knowledge Graphs

Fundamentals of GraphRAG. Enhanced RAG Based on Knowledge Graphs

A

Tomaž Bratanič, Oscar Hane

AI and ML
EN
Practical Generative AI: From Concept to Deployment: Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment: Building and Deploying Ethical AI-Powered Solutions

A

Pramod Singh, James McKeone

AI and ML
EN
Building Large Language Models from Scratch: Design, Train, and Deploy LLMs with PyTorch

Building Large Language Models from Scratch: Design, Train, and Deploy LLMs with PyTorch

A

Dilyan Grigorov

AI and ML
EN
Deep Learning for Life Sciences: with Python Notebooks for Examples and Exercises

Deep Learning for Life Sciences: with Python Notebooks for Examples and Exercises

A

Filippo Biscarini, Nelson Nazzicari

AI and ML
EN
Image Processing with Python: Theory, Practice, and Applications

Image Processing with Python: Theory, Practice, and Applications

A

Erik Cuevas, Alma Nayeli Rodriguez-Vazquez, Beatriz A. Rivera-Aguilar, Jesús A. López-Luquín, Carlos Guzmán-Rosales

AI and ML
EN
Practical Neural Networks in Python and MATLAB

Practical Neural Networks in Python and MATLAB

A

Chunwei Zhang, Tianpeng Li, Ying Dai, Li Sun, Ardashir Mohammadzadeh

AI and ML
RU
Claude Code: The Complete Guide to the AI Assistant for Developers

Claude Code: The Complete Guide to the AI Assistant for Developers

A

Ranas Mukminov

AI and ML
EN
Generative AI on Kubernetes: Operationalizing Large Language Models

Generative AI on Kubernetes: Operationalizing Large Language Models

A

Roland Huß, Daniele Zonca

AI and ML
RU
Machine Learning. System Design from Idea to Implementation

Machine Learning. System Design from Idea to Implementation

A

Valery Babushkin, Arseniy Kravchenko

AI and ML
EN
Learning AutoML: Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration

Learning AutoML: Automating ML Pipelines with AutoGluon, Leading Frameworks, and Real-World Integration

A

Kerem Tomak

AI and ML
RU
Generative AI in Practice: Transformers and Diffusion Models

Generative AI in Practice: Transformers and Diffusion Models

A

Ómar Sanseviero, Pedro Cuenca, Apolinário Passos, Jonathan Whitaker

AI and ML
RU
Large Language Model-Based Recommendation Systems. Full Development Cycle: From Pre-training to Deployment of Intelligent Agents

Large Language Model-Based Recommendation Systems. Full Development Cycle: From Pre-training to Deployment of Intelligent Agents

A

Lu Lu, Zhang Yujun

AI and ML
RU
Natural Language Processing in Action. 2nd Edition

Natural Language Processing in Action. 2nd Edition

A

Hobson Lane, Maria Dyshel

AI and ML
EN
Hugging Face in Action

Hugging Face in Action

A

Wei-Meng Lee

AI and ML
EN
Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence

Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence

A

Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, Joana B. Pereira, Carlo Manzo

AI and ML
EN
Machine Learning Platform Engineering: Build an internal developer platform for ML and AI systems

Machine Learning Platform Engineering: Build an internal developer platform for ML and AI systems

A

Benjamin Tan Wei Hao, Shanoop Padmanabhan, Varun Mallya

AI and ML
EN
Time Series Forecasting Using Foundation Models

Time Series Forecasting Using Foundation Models

A

Marco Peixeiro

AI and ML
EN
Build a Text-to-Image Generator (from Scratch) With transformers and diffusions

Build a Text-to-Image Generator (from Scratch) With transformers and diffusions

A

Mark Liu

AI and ML
EN
Transformers: The Definitive Guide. Applications Beyond NLP

Transformers: The Definitive Guide. Applications Beyond NLP

A

Nicole Koenigstein

AI and ML
123 →

PDF quality score:

A Excellent — copyable text, TOC, metadata B Good — text present, some data missing C Average — text is partially extractable D Poor — most likely a scan F Scan without OCR — text cannot be extracted