Books / AI and ML

AI and ML

All Programming languages 1482AI and ML 738Algorithms 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 245Machine learning 145LLM 101Neural networks 90ChatGPT 36TensorFlow 28Computer Vision 26PyTorch 20MLOps 18Natural Language Processing 12熊猫 9AI Agents 1
EN
Machine Learning with Python for Process and Equipment Condition Monitoring, and Predictive Maintenance: From Data to Process Understanding

Machine Learning with Python for Process and Equipment Condition Monitoring, and Predictive Maintenance: From Data to Process Understanding

A

Анкур Кумар, Хесус Флорес-Серрильо

AI and ML
RU
Introduction to Statistical Learning with Python Examples

Introduction to Statistical Learning with Python Examples

A

Гарет Джеймс, Даниела Уиттен, Тревор Хасти, Роберт Тибширани, Джонатан Тейлор

AI and ML
EN
Software Engineering for Data Scientists: From Notebooks to Scalable Systems

Software Engineering for Data Scientists: From Notebooks to Scalable Systems

A

Кэтрин Нельсон

AI and ML
EN
Minimalistic Data Processing with Python

Minimalistic Data Processing with Python

A

Марек Гаголевский

AI and ML
EN
Fundamentals of Data Science using R, Python, and Open Data

Fundamentals of Data Science using R, Python, and Open Data

A

Марко Кремонини

AI and ML
RU
Data Storage and Analysis Toolkit: The Complete Guide to Dimensional Modeling

Data Storage and Analysis Toolkit: The Complete Guide to Dimensional Modeling

A

Ральф Кимбалл, Марджи Росс

AI and ML
EN
Active Machine Learning in Python

Active Machine Learning in Python

A

Марго Массон-Форсайт

AI and ML
RU
Artificial Intelligence in Strategy Games. Part I: Computer Chess

Artificial Intelligence in Strategy Games. Part I: Computer Chess

A

Илья Шпигорь

AI and ML
EN
Practical Prescriptive Modeling

Practical Prescriptive Modeling

A

Уолтер Р. Пачковски

AI and ML
EN
Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs

Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs

A

Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada

AI and ML
EN
ChatGPT for Beginners: Features, Foundations, and Applications

ChatGPT for Beginners: Features, Foundations, and Applications

A

Eric Sarrion

AI and ML
EN
Practical Java Programming with ChatGPT

Practical Java Programming with ChatGPT

A

Alan S. Bluck

AI and ML
EN
Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects

Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects

A

Ayush Vaishya

AI and ML
EN
101 Visualizations with Python and Matplotlib: A Comprehensive Guide to Data Visualization

101 Visualizations with Python and Matplotlib: A Comprehensive Guide to Data Visualization

B

Ahmed Abouraia

AI and ML
EN
Network Science with Python

Network Science with Python

A

David Knickerbocker

AI and ML
RU
Deep Learning and Data Analysis. A Practical Guide

Deep Learning and Data Analysis. A Practical Guide

A

Дмитрий Малов

AI and ML
RU
Python for Machine Learning

Python for Machine Learning

A

Неизвестен

AI and ML
RU
Interpretable Machine Learning with Python

Interpretable Machine Learning with Python

A

Сергей Масис

AI and ML
EN
Embedded Analytics: Integrating Analysis with the Business Workflow

Embedded Analytics: Integrating Analysis with the Business Workflow

A

Donald Farmer, Jim Horbury

AI and ML
EN
Football Analytics with Python & R: Learning Data Science Through the Lens of Sports

Football Analytics with Python & R: Learning Data Science Through the Lens of Sports

A

Eric A. Eager & Richard A. Erickson

AI and ML
EN
Python for Scientific Computing and Artificial Intelligence

Python for Scientific Computing and Artificial Intelligence

A

Stephen Lynch

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

Python for Data Analysis. Data Processing, Statistical Modeling, and Machine Learning

B

Уэс Маккинни

AI and ML
RU
Practical Data Processing: Python and Pandas for Professionals

Practical Data Processing: Python and Pandas for Professionals

A

Игорь Свинаренко

AI and ML
RU
Grokking Deep Reinforcement Learning

Grokking Deep Reinforcement Learning

A

Мигель Моралес

AI and ML
RU
Neural Networks. Audio Data Processing

Neural Networks. Audio Data Processing

A

Джейд Картер

AI and ML
RU
Data Analysis and Visualization in Yandex DataLens. A Comprehensive Guide: From Beginner to Expert

Data Analysis and Visualization in Yandex DataLens. A Comprehensive Guide: From Beginner to Expert

A

Гинько А. Ю.

AI and ML
EN
Data Wrangling on AWS: Clean and organize complex data for analysis

Data Wrangling on AWS: Clean and organize complex data for analysis

A

Navnit Shukla, Sankar M, Sam Palani

AI and ML
EN
The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions

The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions

A

Marco Scutari, Mauro Malvestio

AI and ML
EN
Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps

Machine Learning in Production: Master the art of delivering robust Machine Learning solutions with MLOps

A

Suhas Pote

AI and ML
EN
Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering

Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering

A

Haksun Li, PhD

AI and ML
EN
Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems

Data Engineering Design Patterns: Recipes for Solving the Most Common Data Engineering Problems

A

Bartosz Konieczny

AI and ML
RU
3D Deep Learning with Python. Develop Computer Vision Models Using 3D Data with PyTorch3D and Other Tools

3D Deep Learning with Python. Develop Computer Vision Models Using 3D Data with PyTorch3D and Other Tools

A

Ксудонг Ма, Вишах Хегде, Лилит Йольан

AI and ML
RU
Building Machine Learning Applications: From Idea to Product

Building Machine Learning Applications: From Idea to Product

A

Эммануэль Амейзен

AI and ML
RU
S.N. Yaryshev, V.A. Ryzhova, M.A. Volynsky. Technical Vision Systems in Detection, Measurement, and Control Tasks

S.N. Yaryshev, V.A. Ryzhova, M.A. Volynsky. Technical Vision Systems in Detection, Measurement, and Control Tasks

A

С.Н. Ярышев, В.А. Рыжова, М.А. Волынский

AI and ML
RU
Data Preprocessing in Python. Volume 2: Plan, Examples, and Quality Metrics

Data Preprocessing in Python. Volume 2: Plan, Examples, and Quality Metrics

A

А. В. Груздев

AI and ML
RU
Data Preprocessing in Python. Volume 1. Tools and Validation

Data Preprocessing in Python. Volume 1. Tools and Validation

A

А. В. Груздев

AI and ML
RU
Python Basics for Data Science

Python Basics for Data Science

A

Кеннеди Берман

AI and ML
RU
Neural Networks. Natural Language Processing

Neural Networks. Natural Language Processing

A

Джейд Картер

AI and ML
RU
Computer Vision. Fundamentals and Algorithms with Examples in Matlab

Computer Vision. Fundamentals and Algorithms with Examples in Matlab

A

Питер Корк

AI and ML
RU
Diving into Data Analytics

Diving into Data Analytics

A

Джордж Маунт

AI and ML
RU
Mathematical Algorithms for Programmers. 3D Graphics, Machine Learning, and Simulation in Python

Mathematical Algorithms for Programmers. 3D Graphics, Machine Learning, and Simulation in Python

A

Пол Орланд

AI and ML
RU
Data Visualization: A Complete Course for Beginners

Data Visualization: A Complete Course for Beginners

A

Тамара Манцнер

AI and ML
RU
Solving Deep Learning Problems Using PyTorch and PyTorch Lightning Frameworks

Solving Deep Learning Problems Using PyTorch and PyTorch Lightning Frameworks

A

А. И. Елисеев, Ю. В. Минин, Ю. В. Кулаков

AI and ML
RU
A Practical Introduction to Essential Python Libraries and Frameworks (with Code Examples)

A Practical Introduction to Essential Python Libraries and Frameworks (with Code Examples)

B

Мурат Дурмус

AI and ML
RU
Deep Learning with Python. Second International Edition

Deep Learning with Python. Second International Edition

A

Франсуа Шолле

AI and ML
RU
Meta-learning. Applications in AutoML and Data Science

Meta-learning. Applications in AutoML and Data Science

A

Павел Браздил, Ян ван Рейн, Карлос Соарес, Хоакин Ваншорен

AI and ML
RU
Data Analysis Workshop with Python and R

Data Analysis Workshop with Python and R

A

О.А. Баюк, М.Р. Исаева, М.О. Самсонкин

AI and ML
EN
Scaling Python with Dask: From Data Science to Machine Learning

Scaling Python with Dask: From Data Science to Machine Learning

A

Holden Karau, Mika Kimmins

AI and ML
EN
R for Data Science, 2nd Edition

R for Data Science, 2nd Edition

A

Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund

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

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

A

Уэс Маккинни

AI and ML
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