• Books
  • Tag: machine learning

Books — machine learning

EN
Fundamentals of Data Science: Theory and Practice

Fundamentals of Data Science: Theory and Practice

A

Jugal K. Kalita, Dhruba K. Bhattacharyya, Swarup Roy

AI and ML
EN
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications, Second Edition

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications, Second Edition

A

Laura Igual, Santi Seguí

AI and ML
EN
Principles of Data Science: A beginner’s guide to essential math and coding skills for data fluency and machine learning

Principles of Data Science: A beginner’s guide to essential math and coding skills for data fluency and machine learning

A

Sinan Ozdemir

AI and ML
EN
Data Science Solutions on Azure: The Rise of Generative AI and Applied AI, Second Edition

Data Science Solutions on Azure: The Rise of Generative AI and Applied AI, Second Edition

A

Julian Soh, Priyanshi Singh

DevOps and Infrastructure
EN
Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World

Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World

A

Maxine Attobrah

AI and ML
EN
Advanced Data Analytics Using Python: With Architectural Patterns, Text and Image Classification, and Optimization Techniques, Second Edition

Advanced Data Analytics Using Python: With Architectural Patterns, Text and Image Classification, and Optimization Techniques, Second Edition

A

Sayan Mukhopadhyay, Pratip Samanta

AI and ML
EN
Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples

Advanced Data Analytics Using Python: With Machine Learning, Deep Learning and NLP Examples

A

Sayan Mukhopadhyay

AI and ML
RU
Artificial Intelligence and Machine Learning for Programmers in PyTorch

Artificial Intelligence and Machine Learning for Programmers in PyTorch

A

Лоуренс Морони

AI and ML
EN
Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning

Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning

A

Craig Johnston

DevOps and Infrastructure
EN
Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

Machine Learning Interviews: Kickstart Your Machine Learning and Data Career

A

Susan Shu Chang

AI and ML
EN
Algorithms for Data Science

Algorithms for Data Science

A

Brian Steele, John Chandler, Swarna Reddy

Algorithms and theory
RU
Learning Spark: Lightning-Fast Data Analysis

Learning Spark: Lightning-Fast Data Analysis

A

Холден Карау, Энди Конвински, Патрик Венделл, Матей Захария

AI and ML
RU
Nika M. - Building AI-Powered Products (O'Reilly. Programming Books) - 2026

Nika M. - Building AI-Powered Products (O'Reilly. Programming Books) - 2026

F
WEB development
EN
Statistics for Machine Learning

Statistics for Machine Learning

A

Pratap Dangeti

Algorithms and theory
EN
Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data

Graph-Powered Analytics and Machine Learning with TigerGraph: Driving Business Outcomes with Connected Data

A

Victor Lee, Phuc Kien Nguyen, Alexander Thomas

AI and ML
EN
Machine Learning in Python for Dynamic Process Systems: A practitioner's guide for building process modeling, predictive, and monitoring solutions using dynamic data

Machine Learning in Python for Dynamic Process Systems: A practitioner's guide for building process modeling, predictive, and monitoring solutions using dynamic data

A

Ankur Kumar, Jesus Flores-Cerrillo

AI and ML
EN
Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn

Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn

A

Abdelaziz Testas

AI and ML
EN
Dive Into Data Science: Use Python to Tackle Your Toughest Business Challenges

Dive Into Data Science: Use Python to Tackle Your Toughest Business Challenges

A

Bradford Tuckfield

AI and ML
EN
Machine Learning With Go, Second Edition: Leverage Go's powerful packages to build smart machine learning and predictive applications

Machine Learning With Go, Second Edition: Leverage Go's powerful packages to build smart machine learning and predictive applications

A

Daniel Whitenack, Janani Selvaraj

Programming languages
EN
Mining of Massive Datasets

Mining of Massive Datasets

A

Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman

Algorithms and theory
EN
Computational Intelligence for Big Data Analysis: Frontier Advances and Applications

Computational Intelligence for Big Data Analysis: Frontier Advances and Applications

A

D.P. Acharjya, Satchidananda Dehuri, Sugata Sanyal

AI and ML
EN
Beyond the Algorithm: AI, Security, Privacy, and Ethics

Beyond the Algorithm: AI, Security, Privacy, and Ethics

A

Omar Santos, Petar Radanliev

Algorithms and theory
EN
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

A

Kyle Gallatin, Chris Albon

AI and ML
EN
Grokking Artificial Intelligence Algorithms

Grokking Artificial Intelligence Algorithms

A

Rishal Hurbans

Algorithms and theory
RU
Machine Learning with Python for Everyone

Machine Learning with Python for Everyone

A

Андреас Мюллер, Сара Гвидо

AI and ML
RU
Machine Learning for High-Risk Applications

Machine Learning for High-Risk Applications

A

Патрик Холл, Джеймс Кертис, Парул Панди

AI and ML
RU
Machine Learning for Algorithmic Trading in Financial Markets. Practical Workshop

Machine Learning for Algorithmic Trading in Financial Markets. Practical Workshop

A

Стефан Янсен

AI and ML
EN
Python for Programmers

Python for Programmers

A

O. Campesato

Programming languages
EN
Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision

Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision

A

Karm Veer Arya, Ciro Rodriguez Rodriguez, Saurabh Singh, Abhishek Singhal

AI and ML
EN
Principles of Machine Learning: The Three Perspectives

Principles of Machine Learning: The Three Perspectives

A

Wenmin Wang

AI and ML
EN
10 Machine Learning Blueprints You Should Know for Cybersecurity

10 Machine Learning Blueprints You Should Know for Cybersecurity

A

Rajvardhan Oak

Cybersecurity
EN
Graph Data Science with Neo4j

Graph Data Science with Neo4j

A

Estelle Scifo

AI and ML
EN
Ensemble Methods for Machine Learning

Ensemble Methods for Machine Learning

A

Gautam Kunapuli

AI and ML
EN
Hands-On Data Analysis with Pandas – Second Edition

Hands-On Data Analysis with Pandas – Second Edition

A

Stefanie Molin

AI and ML
EN
Data Analysis with Stata

Data Analysis with Stata

A

Prasad Kothari

AI and ML
EN
Python Debugging for AI, Machine Learning, and Cloud Computing: A Pattern-Oriented Approach

Python Debugging for AI, Machine Learning, and Cloud Computing: A Pattern-Oriented Approach

A

Dmitry Vostokov

Software Development
EN
Data Science for IoT Engineers: A Systems Analytics Approach

Data Science for IoT Engineers: A Systems Analytics Approach

A

P. G. Madhavan, Ph.D.

AI and ML
EN
AI Algorithms: A Comprehensive Guide to Machine Learning Models and Techniques

AI Algorithms: A Comprehensive Guide to Machine Learning Models and Techniques

B

Murat Durmus

AI and ML
EN
Clojure Data Analysis Cookbook Second Edition

Clojure Data Analysis Cookbook Second Edition

A

Eric Rochester

Programming languages
EN
Clojure for Machine Learning

Clojure for Machine Learning

A

Akhil Wali

Programming languages
EN
Mastering Clojure Data Analysis

Mastering Clojure Data Analysis

A

Eric Rochester

Programming languages
EN
Clojure Data Analysis Cookbook

Clojure Data Analysis Cookbook

A

Eric Rochester

Programming languages
EN
Data Labeling in Machine Learning with Python

Data Labeling in Machine Learning with Python

A

Vijaya Kumar Suda

AI and ML
EN
Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization

Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization

A

Matt Wiley, Joshua F. Wiley

AI and ML
RU
Daniel Vaughan - Data Science. Best Practices (O'Reilly. Programming Books) - 2026

Daniel Vaughan - Data Science. Best Practices (O'Reilly. Programming Books) - 2026

F
WEB development
EN
Mastering NLP from Foundations to LLMs

Mastering NLP from Foundations to LLMs

A

Lior Gazit, Meysam Ghaffari

AI and ML
EN
Python Data Analysis

Python Data Analysis

A

Avinash Navlani, Cornellius Yudha Wijaya

AI and ML
EN
Official Google Cloud Certified Professional Machine Learning Engineer Study Guide

Official Google Cloud Certified Professional Machine Learning Engineer Study Guide

A

Mona Mona, Pratap Ramamurthy

DevOps and Infrastructure
EN
Essential Math for AI

Essential Math for AI

A

Hala Nelson

Algorithms and theory
RU
Artificial Intelligence Algorithms in PROLOG

Artificial Intelligence Algorithms in PROLOG

B

Иван Братко

Algorithms and theory
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