Books / AI and ML / LLM

AI and ML

All Programming languages 1536AI and ML 762Algorithms and theory 505Software Development 470WEB development 389DevOps and Infrastructure 271Cybersecurity 225OS and System 172Other 169Databases 146Game development 143Embedded systems 131IT management 106
All Data Science 253Machine learning 151LLM 107Neural networks 91ChatGPT 37TensorFlow 29Computer Vision 26PyTorch 21MLOps 18Natural Language Processing 12熊猫 9AI Agents 1
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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
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
Building Complex Multi-Agent Systems Using Pattern Prompting

Building Complex Multi-Agent Systems Using Pattern Prompting

A

Tim O'Brien

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
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
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
EN
Hugging Face in Action

Hugging Face in Action

A

Wei-Meng Lee

AI and ML
EN
Transformers in Action

Transformers in Action

A

Nicole Koenigstein

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

AI Agents and Applications with LangChain, LangGraph, and MCP

A

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

A

Rishal Hurbans

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

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

A

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

A

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

A

Shesh Narayan Gupta

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

Agentic AI for Engineers: Architecting Goal-Driven Systems

A

Dhivya Nagasubramanian

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

A

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

A

Eslam Wahba

AI and ML
EN
Designing Large Language Model Applications

Designing Large Language Model Applications

A

Suhas Pai

AI and ML
EN
The Practical Guide to Large Language Models: Hands-On AI Applications with Hugging Face Transformers

The Practical Guide to Large Language Models: Hands-On AI Applications with Hugging Face Transformers

A

Ivan Gridin

AI and ML
EN
Mastering LangChain: A Comprehensive Guide to Building Generative AI Applications

Mastering LangChain: A Comprehensive Guide to Building Generative AI Applications

A

Sanath Raj B Narayan, Nitin Agarwal

AI and ML
EN
Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

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Mayo Oshin, Nuno Campos

AI and ML
EN
GPT for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples

GPT for Python-Coding in Computational Materials Science and Mechanics: From Prompt Engineering to Solutions in Worked-Out Examples

A

Bernhard Eidel

AI and ML
EN
AI-Assisted Coding: The Practical Guide for Software Development

AI-Assisted Coding: The Practical Guide for Software Development

A

Michael Kofler, Bernd Öggl, Sebastian Springer

AI and ML
EN
Building Generative AI Agents Using LangGraph, AutoGen, and CrewAI

Building Generative AI Agents Using LangGraph, AutoGen, and CrewAI

A

Tom Taulli, Gaurav Deshmukh

AI and ML
EN
Build Financial Software with Generative AI (From Scratch)

Build Financial Software with Generative AI (From Scratch)

A

Christopher Kardell, Mark Brouwer

AI and ML
EN
Software Craftsmanship Using AI: Practical guide for using LLMs in writing, reviewing and testing code

Software Craftsmanship Using AI: Practical guide for using LLMs in writing, reviewing and testing code

A

Almantas Karpavičius

AI and ML
EN
AI-Powered Search

AI-Powered Search

A

Trey Grainger, Doug Turnbull, Max Irwin

AI and ML
EN
Large Language Models Ops for Finance: A Practical Guide to Infrastructure, Implementation, and Innovation

Large Language Models Ops for Finance: A Practical Guide to Infrastructure, Implementation, and Innovation

A

Brindha Priyadarshini Jeyaraman

AI and ML
EN
Essential GraphRAG: Knowledge Graph–Enhanced RAG

Essential GraphRAG: Knowledge Graph–Enhanced RAG

A

Tomaž Bratanič, Oskar Hane

AI and ML
EN
Building AI Agents with LLMs, RAG, and Knowledge Graphs

Building AI Agents with LLMs, RAG, and Knowledge Graphs

A

Salvatore Raieli, Gabriele Iuculano

AI and ML
RU
Building an LLM from Scratch

Building an LLM from Scratch

A

Sebastian Raschka

AI and ML
RU
Application Development Based on GPT-4 and ChatGPT. 2nd Edition

Application Development Based on GPT-4 and ChatGPT. 2nd Edition

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Olivier Quelin, Marie-Alice Blete

AI and ML
RU
RAG Systems: From Theory to Practice. A Practical Guide to Building Intelligent Search and Content Generation Systems in the Era of Rapid AI Technology Development

RAG Systems: From Theory to Practice. A Practical Guide to Building Intelligent Search and Content Generation Systems in the Era of Rapid AI Technology Development

A

R. V. Dushkin

AI and ML
RU
Generative AI with Large Language Model (LLM) Training for Juniors

Generative AI with Large Language Model (LLM) Training for Juniors

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Shamim Bhuyan, Timur Isachenko

AI and ML
RU
Prompt Engineering for LLMs. The Art of Building Applications Based on Large Language Models

Prompt Engineering for LLMs. The Art of Building Applications Based on Large Language Models

A

John Berryman, Albert Ziegler

AI and ML
EN
Visualizing Generative AI: How AI Paints, Writes, and Assists

Visualizing Generative AI: How AI Paints, Writes, and Assists

A

Priyanka Vergadia, Valliappa Lakshmanan

AI and ML
EN
Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

Building LLMs with PyTorch: A step-by-step guide to building advanced AI models with PyTorch

A

Anand Trivedi

AI and ML
EN
Generative AI for Software Development: Building Software Faster and More Effectively

Generative AI for Software Development: Building Software Faster and More Effectively

A

Sergio Pereira

AI and ML
EN
Intermediate Python and Large Language Models

Intermediate Python and Large Language Models

A

Dilyan Grigorov

AI and ML
EN
Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications

Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications

A

John Berryman, Albert Ziegler

AI and ML
EN
Generative AI for Full-Stack Development: AI Empowered Accelerated Coding

Generative AI for Full-Stack Development: AI Empowered Accelerated Coding

A

Shantanu Baruah, Nitara Baruah

AI and ML
EN
Building Applications with AI Agents: Designing and Implementing Multiagent Systems

Building Applications with AI Agents: Designing and Implementing Multiagent Systems

A

Michael Albada

AI and ML
EN
Generative AI Design Patterns: Solutions to Common Challenges When Building GenAI Agents and Applications

Generative AI Design Patterns: Solutions to Common Challenges When Building GenAI Agents and Applications

A

Valliappa Lakshmanan, Hannes Hapke

AI and ML
RU
RAG and Generative AI. Building Custom RAG Pipelines with LlamaIndex, Deep Lake, and Pinecone

RAG and Generative AI. Building Custom RAG Pipelines with LlamaIndex, Deep Lake, and Pinecone

A

Denis Rothman

AI and ML
RU
AI Engineering. Building Applications with Foundational Models

AI Engineering. Building Applications with Foundational Models

A

Chip Huyen

AI and ML
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