Books / AI and ML

AI and ML

All Programming languages 1482AI and ML 737Algorithms and theory 497Software Development 444WEB development 371DevOps and Infrastructure 265Cybersecurity 224OS and System 167Databases 146Other 145Game development 139Embedded systems 129IT management 102
All Data Science 244Machine learning 145LLM 101Neural networks 90ChatGPT 36TensorFlow 28Computer Vision 26PyTorch 20MLOps 18Natural Language Processing 12熊猫 9AI Agents 1
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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

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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

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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

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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

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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

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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

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April Dunnam

AI and ML
EN
Data Engineering for Beginners

Data Engineering for Beginners

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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

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Bernd Klein

AI and ML
EN
Introduction to Psychophysics with Python

Introduction to Psychophysics with Python

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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

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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

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Dominik Polzer

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

Fundamentals of GraphRAG. Enhanced RAG Based on Knowledge Graphs

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Томаж Братанич, Оскар Хане

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

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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

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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

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Filippo Biscarini, Nelson Nazzicari

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

Image Processing with Python: Theory, Practice, and Applications

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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

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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

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Ранас Мукминов

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

Generative AI on Kubernetes: Operationalizing Large Language Models

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Roland Huß, Daniele Zonca

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

Machine Learning. System Design from Idea to Implementation

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Валерий Бабушкин, Арсений Кравченко

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

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Kerem Tomak

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

Generative AI in Practice: Transformers and Diffusion Models

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Омар Сансевьеро, Педро Куэнка, Аполинарио Пассос, Джонатан Уитакер

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

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Лю Лу, Чжан Юйцзюнь

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

Natural Language Processing in Action. 2nd Edition

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Хобсон Лейн, Мария Дышель

AI and ML
EN
Hugging Face in Action

Hugging Face in Action

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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

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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

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Benjamin Tan Wei Hao, Shanoop Padmanabhan, Varun Mallya

AI and ML
EN
Time Series Forecasting Using Foundation Models

Time Series Forecasting Using Foundation Models

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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

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Mark Liu

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

Transformers: The Definitive Guide. Applications Beyond NLP

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Nicole Koenigstein

AI and ML
EN
Transformers in Action

Transformers in Action

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Nicole Koenigstein

AI and ML
EN
AI Agents and Applications with LangChain, LangGraph, and MCP

AI Agents and Applications with LangChain, LangGraph, and MCP

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Roberto Infante

AI and ML
EN
Grokking AI Algorithms, Second Edition: How AI solves complex problems

Grokking AI Algorithms, Second Edition: How AI solves complex problems

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Rishal Hurbans

AI and ML
EN
Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

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Howard Huang, Eli Stevens, Luca Antiga, Thomas Viehmann

AI and ML
EN
Applied Machine Learning: Using Machine Learning to Solve Business Problems

Applied Machine Learning: Using Machine Learning to Solve Business Problems

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Jason Hodson

AI and ML
EN
PyTorch: The Practical Guide

PyTorch: The Practical Guide

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Bert Gollnick

AI and ML
EN
Introduction to Generative AI: Reliable, responsible, and real-world applications

Introduction to Generative AI: Reliable, responsible, and real-world applications

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Numa Dhamani, Maggie Engler

AI and ML
EN
Building and Training Generative AI Models: A Practical Guide to Generative AI Development and Scaling

Building and Training Generative AI Models: A Practical Guide to Generative AI Development and Scaling

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Irena Cronin

AI and ML
EN
Generative AI for Game Development: Crafting Narrative Worlds with Machines

Generative AI for Game Development: Crafting Narrative Worlds with Machines

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Shesh Narayan Gupta

AI and ML
EN
Agentic AI for Engineers: Architecting Goal-Driven Systems

Agentic AI for Engineers: Architecting Goal-Driven Systems

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Dhivya Nagasubramanian

AI and ML
RU
Data Analysis with GenAI and Python

Data Analysis with GenAI and Python

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Артур Гуджа, Марлена Сивяк, Мариан Сивяк

AI and ML
EN
Microsoft Copilot Studio Step by Step: Customizing Copilot and creating agents

Microsoft Copilot Studio Step by Step: Customizing Copilot and creating agents

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Lisa Crosbie

AI and ML
EN
Data Clustering with Python: From Theory to Implementation

Data Clustering with Python: From Theory to Implementation

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Guojun Gan

AI and ML
EN
Deep Learning with Python. Third Edition

Deep Learning with Python. Third Edition

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Франсуа Шолле, Мэттью Уотсон

AI and ML
EN
AI Programming for Web Development and Machine Learning: Using AI for Smart Coding Practices and Development Environments

AI Programming for Web Development and Machine Learning: Using AI for Smart Coding Practices and Development Environments

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Доктор Муралидхар Курни, Рамеш Кришнаманени, Доктор Шриниваса К.Г.

AI and ML
EN
The Agentic AI Revolution: Leveraging Microsoft AI and Autonomous Agents to Transform Work and Business

The Agentic AI Revolution: Leveraging Microsoft AI and Autonomous Agents to Transform Work and Business

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Will Hawkins, Nancie Calder

AI and ML
EN
Claude Code Mastery: Build, Automate, and Scale Production-Ready Systems with Claude AI

Claude Code Mastery: Build, Automate, and Scale Production-Ready Systems with Claude AI

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Eslam Wahba

AI and ML
EN
Designing Large Language Model Applications

Designing Large Language Model Applications

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Suhas Pai

AI and ML
EN
Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines

Machine Learning Production Systems: Engineering Machine Learning Models and Pipelines

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Robert Crowe, Hannes Hapke, Emily Caveness, Di Zhu

AI and ML
EN
LLMOps: Managing Large Language Models in Production

LLMOps: Managing Large Language Models in Production

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Abi Aryan

AI and ML
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