Books / AI and ML

AI and ML

All Programming languages 1736AI and ML 824Software Development 534Algorithms and theory 525WEB development 428DevOps and Infrastructure 299Cybersecurity 230Other 212OS and System 187Game development 164Databases 151Embedded systems 140IT management 107
All Data Science 268Machine learning 162LLM 118Neural networks 95Computer Vision 40ChatGPT 40TensorFlow 29PyTorch 22MLOps 18Natural Language Processing 15熊猫 9AI Agents 1
All 2026 592025 1142024 1692023 1202022 532021 442020 672019 362018 302017 152016 172015 222014 42013 52012 22011 32009 32008 12007 21994 1
RU
Application Development Based on GPT-4 and ChatGPT. 2nd Edition

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

A

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
Causal Analysis in Data Science

Causal Analysis in Data Science

A

Alex Ruiz de Villa Robert

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

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

A

Shamim Bhuyan, Timur Isachenko

AI and ML
RU
Deep Learning: Principles and Concepts

Deep Learning: Principles and Concepts

A

Christopher M. Bishop, Hugh Bishop

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
Visual Object Tracking: An Evaluation Perspective

Visual Object Tracking: An Evaluation Perspective

A

Xin Zhao, Shiyu Hu, Xu-Cheng Yin

AI and ML
EN
Python GPT Cookbook: 75+ practical recipes for building NLP solutions for the real world

Python GPT Cookbook: 75+ practical recipes for building NLP solutions for the real world

A

Dr. Neil Williams

AI and ML
EN
NoOps: How AI Agents Are Reinventing DevOps and Software

NoOps: How AI Agents Are Reinventing DevOps and Software

A

Roman Vorel

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
Data Contracts: Developing Production-Grade Pipelines at Scale

Data Contracts: Developing Production-Grade Pipelines at Scale

A

Chad Sanderson, Mark Freeman, B.E. Schmidt

AI and ML
EN
3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows

3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows

A

Florent Poux

AI and ML
EN
GIS Cartography: A Guide to Effective Map Design, Fourth Edition

GIS Cartography: A Guide to Effective Map Design, Fourth Edition

A

Gretchen N. Peterson

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
Artificial Intelligence For Dummies, 3rd Edition

Artificial Intelligence For Dummies, 3rd Edition

A

John Paul Mueller, Luca Massaron, Stephanie Diamond

AI and ML
EN
AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

A

Laurence Moroney

AI and ML
EN
Learning GitHub Copilot: Multiplying Your Coding Productivity Using AI

Learning GitHub Copilot: Multiplying Your Coding Productivity Using AI

A

Brent Laster

AI and ML
EN
Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines

Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines

A

Kirill Kolodiazhnyi

AI and ML
EN
Mastering Text Analytics: A Hands-on Guide to NLP Using Python

Mastering Text Analytics: A Hands-on Guide to NLP Using Python

A

Shailendra Kadre, Shailesh Kadre, Subhendu Dey

AI and ML
EN
Intermediate Python and Large Language Models

Intermediate Python and Large Language Models

A

Dilyan Grigorov

AI and ML
EN
Explainable AI with Python, Second Edition

Explainable AI with Python, Second Edition

A

Antonio Di Cecco, Leonida Gianfagna

AI and ML
EN
Applied Natural Language Processing with PyTorch 2.0: Master Advanced NLP Techniques, Transform Text Data into Insights, and Build Scalable AI Models with PyTorch 2.0

Applied Natural Language Processing with PyTorch 2.0: Master Advanced NLP Techniques, Transform Text Data into Insights, and Build Scalable AI Models with PyTorch 2.0

A

Dr. Deepti Chopra

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
Machine Learning System Design: With End-to-End Examples

Machine Learning System Design: With End-to-End Examples

A

Valerii Babushkin, Arseny Kravchenko

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
Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

A

Aurélien Géron

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
EN
Computer Science From Scratch: Building Interpreters, Art, Emulators, and ML in Python

Computer Science From Scratch: Building Interpreters, Art, Emulators, and ML in Python

A

David Kopec

AI and ML
EN
Programming Neural Networks with Python

Programming Neural Networks with Python

A

Joachim Steinwendner, Roland Schwaiger

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

AI Engineering. Building Applications with Foundational Models

A

Chip Huyen

AI and ML
EN
Bioinformatics with Python Cookbook, Fourth Edition

Bioinformatics with Python Cookbook, Fourth Edition

A

Shane Brubaker

AI and ML
RU
Data Visualization for Professionals. Designing Clear Charts and Dashboards

Data Visualization for Professionals. Designing Clear Charts and Dashboards

A

Desiree Abbott

AI and ML
RU
Elasticsearch for Developers: Indexing, Analysis, Search, and Data Aggregation. 2nd Edition

Elasticsearch for Developers: Indexing, Analysis, Search, and Data Aggregation. 2nd Edition

A

Anurag Srivastava

AI and ML
RU
Prompt Engineering for GenAI. Reliable Query Patterns for Quality Results

Prompt Engineering for GenAI. Reliable Query Patterns for Quality Results

A

James Phoenix, Mike Taylor

AI and ML
RU
Causal Analysis for the Bold and Honest

Causal Analysis for the Bold and Honest

A

Mateus Fagundes, Artem Gruzdev

AI and ML
RU
Big Data. Modern Frameworks and Application Development

Big Data. Modern Frameworks and Application Development

A

Domenico Talia, Paolo Trunfio, Fabrizio Marozzo, Loris Belcastro, Riccardo Cantini, Alessio Orsino

AI and ML
RU
Machine Learning with Low-Code

Machine Learning with Low-Code

A

Gwendolyn Stripling, Michael Abel

AI and ML
RU
Machine Learning. From Basics to Advanced Models

Machine Learning. From Basics to Advanced Models

A

Simon Prince

AI and ML
RU
Machine Learning: Fundamentals

Machine Learning: Fundamentals

A

Sergey Nikolenko

AI and ML
RU
Neural Networks in Python. Fundamentals of AI and Machine Learning

Neural Networks in Python. Fundamentals of AI and Machine Learning

A

Kulikova I. V.

AI and ML
RU
AI-based search

AI-based search

A

Trey Grainger, Doug Turnbull, Max Irwin

AI and ML
RU
Data in the fight against customer churn. Analytics, dataset, metrics, and segmentation.

Data in the fight against customer churn. Analytics, dataset, metrics, and segmentation.

A

Carl Gold

AI and ML
EN
The Elements of Differentiable Programming

The Elements of Differentiable Programming

A

Mathieu Blondel, Vincent Roulet

AI and ML
EN
Advanced Forecasting with Python: Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools, Second Edition

Advanced Forecasting with Python: Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools, Second Edition

A

Joos Korstanje

AI and ML
EN
Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development

Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development

A

Richard D Avila, Imran Ahmad

AI and ML
RU
Python: Pandas in Practice. 200 Data Analysis Exercises with Solutions and Explanations

Python: Pandas in Practice. 200 Data Analysis Exercises with Solutions and Explanations

A

Reuven Lerner

AI and ML
RU
AI-Assisted Programming: Enhanced Planning, Coding, Testing, and Deployment

AI-Assisted Programming: Enhanced Planning, Coding, Testing, and Deployment

A

Tom Taulli

AI and ML
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