Books / AI and ML

AI and ML

All Programming languages 1540AI and ML 762Algorithms and theory 505Software Development 472WEB development 390DevOps and Infrastructure 272Cybersecurity 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
All 2026 502025 1082024 1612023 1102022 492021 402020 652019 342018 292017 122016 142015 162014 32013 42012 22011 32009 22008 12007 21994 1
EN
Intro to Python® for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud

Intro to Python® for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud

A

Paul Deitel & Harvey Deitel

AI and ML
EN
NumPy for Beginners: Your First Steps in Data Science with Python

NumPy for Beginners: Your First Steps in Data Science with Python

B

AI Publishing

AI and ML
EN
Advancing into Analytics: From Excel to Python and R

Advancing into Analytics: From Excel to Python and R

A

George Mount

AI and ML
EN
Conversational AI with Rasa: Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots

Conversational AI with Rasa: Build, test, and deploy AI-powered, enterprise-grade virtual assistants and chatbots

A

Xiaoquan Kong, Guan Wang

AI and ML
EN
SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights

SQL for Data Analysis: Advanced Techniques for Transforming Data into Insights

A

Cathy Tanimura

AI and ML
RU
Python for Everyone. Data Processing with Python 3

Python for Everyone. Data Processing with Python 3

A

Charles R. Severance

AI and ML
EN
Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications

Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics: Theories and Applications

A

Haruna Chiroma, Shafi’i M. Abdulhamid, Philippe Fournier-Viger, Nuno M. Garcia (Editors)

AI and ML
RU
JavaScript for Deep Learning with TensorFlow.js

JavaScript for Deep Learning with TensorFlow.js

A

François Chollet, Eric Nielsen, Stan Bileschi, Shengkui Cai

AI and ML
EN
Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide

Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide

A

Daniel Voigt Godoy

AI and ML
EN
Deploy Machine Learning Models to Production: With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform

Deploy Machine Learning Models to Production: With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform

A

Pramod Singh

AI and ML
RU
Data Science. Data Science from Scratch

Data Science. Data Science from Scratch

A

Joel Grus

AI and ML
EN
Machine Learning with Python for Beginners: A Step-by-Step Guide with Hands-On Projects

Machine Learning with Python for Beginners: A Step-by-Step Guide with Hands-On Projects

A

Jamie Chan

AI and ML
EN
Big Data with Hadoop and Hive

Big Data with Hadoop and Hive

A

Nitin Kumar

AI and ML
RU
Apache Airflow and Data Processing Pipelines

Apache Airflow and Data Processing Pipelines

A

Bas Harenslak, Julian de Ruiter

AI and ML
RU
Deep Learning: Easy Project Development with Python

Deep Learning: Easy Project Development with Python

A

Seth Weidman

AI and ML
RU
Data Science for Career Advancement

Data Science for Career Advancement

A

Nolis Jacqueline, Robinson Emily

AI and ML
RU
Machine Learning Pipeline Development. Automating Model Lifecycles with TensorFlow

Machine Learning Pipeline Development. Automating Model Lifecycles with TensorFlow

A

Hapke H., Nelson K.

AI and ML
RU
Generative Deep Learning. The Creative Potential of Neural Networks

Generative Deep Learning. The Creative Potential of Neural Networks

A

David Foster

AI and ML
RU
Machine Learning with R. Expert Techniques for Predictive Analysis

Machine Learning with R. Expert Techniques for Predictive Analysis

A

Brett Lantz

AI and ML
EN
Mastering Machine Learning Algorithms Second Edition

Mastering Machine Learning Algorithms Second Edition

A

Giuseppe Bonaccorso

AI and ML
RU
Deep Learning with Python. Keras and TensorFlow Libraries

Deep Learning with Python. Keras and TensorFlow Libraries

A

François Chollet

AI and ML
EN
Data Teams: A Unified Management Model for Successful Data-Focused Teams

Data Teams: A Unified Management Model for Successful Data-Focused Teams

A

Jesse Anderson

AI and ML
RU
Deep Learning Without Mathematics. Volume 2. Practice

Deep Learning Without Mathematics. Volume 2. Practice

A

Andrew Glassner

AI and ML
RU
Deep Learning in Biology and Medicine

Deep Learning in Biology and Medicine

A

Bharat Ramsundar, Peter Eastman, Patrick Walters, Vijay Pande

AI and ML
RU
Evolutionary Neural Networks in Python

Evolutionary Neural Networks in Python

A

Yaroslav Omelyanenko

AI and ML
RU
Python and Data Analysis. Primary Data Processing with pandas, NumPy, and IPython

Python and Data Analysis. Primary Data Processing with pandas, NumPy, and IPython

A

Wes McKinney

AI and ML
RU
Deep Learning for Dummies

Deep Learning for Dummies

A

John Paul Mueller, Luca Massaron

AI and ML
EN
Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems

Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems

A

Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, Harshit Surana

AI and ML
EN
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python

A

Pramod Singh, Avinash Manure

AI and ML
EN
Practical Machine Learning with Rust: Creating Intelligent Applications in Rust

Practical Machine Learning with Rust: Creating Intelligent Applications in Rust

A

Joydeep Bhattacharjee

AI and ML
RU
Introduction to Deep Learning

Introduction to Deep Learning

A

Eugene Chernyak

AI and ML
RU
Neural Networks and Deep Learning: A Training Course

Neural Networks and Deep Learning: A Training Course

A

Charu Aggarwal

AI and ML
RU
Methods and Technologies for Big Data Processing

Methods and Technologies for Big Data Processing

A

M.M. Zheleznov

AI and ML
RU
Machine Learning Technologies. Educational and Methodological Guide

Machine Learning Technologies. Educational and Methodological Guide

A

P.E. Gladilin, K.O. Bochenina

AI and ML
RU
Deep Learning with Python. Keras, TensorFlow, and scikit-learn Libraries

Deep Learning with Python. Keras, TensorFlow, and scikit-learn Libraries

B

J. V. Vander Plas

AI and ML
RU
Generative Adversarial Networks. Projects. Build next-generation generative networks using TensorFlow and Keras libraries.

Generative Adversarial Networks. Projects. Build next-generation generative networks using TensorFlow and Keras libraries.

A

Kailash Ahirwar

AI and ML
RU
Modern Data Mining Technologies

Modern Data Mining Technologies

A

A. V. Makshanov, A. E. Zhuravlev, L. N. Tyndykar

AI and ML
RU
Python for Data Analysis. Data Processing, Visualization, and Machine Learning

Python for Data Analysis. Data Processing, Visualization, and Machine Learning

B

Wes McKinney

AI and ML
RU
Recommendation Systems in Practice

Recommendation Systems in Practice

A

Kim Falk

AI and ML
RU
Applied Deep Learning. A Case-Based Approach to Understanding Deep Neural Networks.

Applied Deep Learning. A Case-Based Approach to Understanding Deep Neural Networks.

A

Umberto Michelucci

AI and ML
RU
Programming with PyTorch: Building Deep Learning Applications

Programming with PyTorch: Building Deep Learning Applications

A

Ian Pointer

AI and ML
RU
Fundamentals of Artificial Intelligence

Fundamentals of Artificial Intelligence

A

E. V. Borovskaya, N. A. Davydova

AI and ML
RU
Fundamentals of Deep Learning. Building Algorithms for Next-Generation Artificial Intelligence

Fundamentals of Deep Learning. Building Algorithms for Next-Generation Artificial Intelligence

A

Nikhil Buduma, Nicholas Locascio

AI and ML
RU
The Elements of Statistical Learning: Data Mining, Inference, and Prediction

The Elements of Statistical Learning: Data Mining, Inference, and Prediction

A

Trevor Hastie, Robert Tibshirani, Jerome Friedman

AI and ML
RU
Reinforcement Learning: An Introduction. Second Edition

Reinforcement Learning: An Introduction. Second Edition

A

Richard S. Sutton, Andrew G. Barto

AI and ML
RU
Natural Language Processing with TensorFlow

Natural Language Processing with TensorFlow

A

Tushan Ganegedara

AI and ML
RU
Natural Language Processing in Action. Understanding, Analyzing, and Generating Text with Python

Natural Language Processing in Action. Understanding, Analyzing, and Generating Text with Python

A

Lane Hobson, Cole Howard, Hannes Max Happke

AI and ML
RU
Neural information processing systems

Neural information processing systems

A

S. V. Makartichyan, N. S. Kuznetsova, S. S. Dementyev

AI and ML
RU
Data Science: A Learning Course

Data Science: A Learning Course

A

Steven S. Skiena

AI and ML
RU
Visual Statistics. Using R!

Visual Statistics. Using R!

A

A. B. Shipunov, E. M. Baldin, P. A. Volkova, A. I. Korobeynikov, S. A. Nazarova, S. V. Petrov, V. G. Sufiyanov

AI and ML
← 910111213 →

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