Books / AI and ML / Data Science

AI and ML

All Programming languages 1292AI and ML 661Algorithms and theory 471Software Development 391WEB development 333DevOps and Infrastructure 233Cybersecurity 218Databases 144OS and System 142Game development 122Embedded systems 119Other 109IT management 100
All Data Science 209Machine learning 133Neural networks 87LLM 85ChatGPT 31TensorFlow 27Computer Vision 24PyTorch 19MLOps 17Natural Language Processing 12熊猫 9AI Agents 1
EN
Data Storytelling with Altair and AI

Data Storytelling with Altair and AI

A

Angelica Lo Duca

AI and ML
EN
Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle, Second Edition

Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle, Second Edition

A

Ramcharan Kakarla, Sundar Krishnan, Balaji Dhamodharan, Venkata Gunnu

AI and ML
EN
Geospatial Data Science Essentials: 101 Practical Python Tips and Tricks

Geospatial Data Science Essentials: 101 Practical Python Tips and Tricks

A

Milan Janosov

AI and ML
EN
Data Analytics & Visualization All-in-One For Dummies

Data Analytics & Visualization All-in-One For Dummies

A

Jack Hyman, Luca Massaron, Paul McFedries, John Paul Mueller, Lillian Pierson, Jonathan Reichental, PhD, Joseph Schmuller, Alan Simon, Allen G. Taylor

AI and ML
EN
Databricks Data Intelligence Platform: Unlocking the GenAI Revolution

Databricks Data Intelligence Platform: Unlocking the GenAI Revolution

A

Nikhil Gupta, Jason Yip

AI and ML
EN
Python 3 and Feature Engineering

Python 3 and Feature Engineering

A

Oswald Campesato

AI and ML
EN
Modern Data Visualization with R

Modern Data Visualization with R

A

Robert Kabacoff

AI and ML
EN
Exploring Data Science with R and the Tidyverse: A Concise Introduction

Exploring Data Science with R and the Tidyverse: A Concise Introduction

A

Jerry Bonnell, Mitsunori Ogihara

AI and ML
EN
Graph Algorithms for Data Science: With Examples in Neo4j

Graph Algorithms for Data Science: With Examples in Neo4j

A

Tomaž Bratanič

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
Practical Prescriptive Modeling

Practical Prescriptive Modeling

A

Уолтер Р. Пачковски

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
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
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
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
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
Diving into Data Analytics

Diving into Data Analytics

A

Джордж Маунт

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
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
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
EN
Modern Data Architectures with Python: A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python

Modern Data Architectures with Python: A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python

A

Brian Lipp

AI and ML
EN
Data Science: The Hard Parts. Techniques for Excelling at Data Science

Data Science: The Hard Parts. Techniques for Excelling at Data Science

A

Daniel Vaughan

AI and ML
EN
Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL

Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL

A

Raghav Kandarpa, Shivangi Saxena

AI and ML
EN
Statistics and Data Visualisation with Python

Statistics and Data Visualisation with Python

A

Jesús Rogel-Salazar

AI and ML
RU
Python for Data Science

Python for Data Science

A

Юлий Васильев

AI and ML
EN
Mastering ArcGIS Pro

Mastering ArcGIS Pro

A

Maribeth H. Price

AI and ML
RU
Power BI: Advanced Optimization Techniques. The Complete Guide to Building Consistently Fast Solutions in Microsoft Power BI

Power BI: Advanced Optimization Techniques. The Complete Guide to Building Consistently Fast Solutions in Microsoft Power BI

A

Бхавик Мерчант

AI and ML
EN
Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

A

Valery Manokhin

AI and ML
EN
Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

Exploratory Data Analysis with Python Cookbook: Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data

A

Ayodele Oluleye

AI and ML
EN
The Cloud Data Lake: A Guide to Building Robust Cloud Data Architecture

The Cloud Data Lake: A Guide to Building Robust Cloud Data Architecture

A

Rukmani Gopalan

AI and ML
EN
Python Data Science Handbook: Essential Tools for Working with Data

Python Data Science Handbook: Essential Tools for Working with Data

A

Jake VanderPlas

AI and ML
EN
Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions

Fundamentals of Data Observability: Implement Trustworthy End-to-End Data Solutions

A

Andy Petrella

AI and ML
EN
Managing Datasets and Models

Managing Datasets and Models

A

Oswald Campesato

AI and ML
RU
DAX for Professionals: Theory and Practice. Take Your Analytical Skills in Microsoft Power BI to the Next Level

DAX for Professionals: Theory and Practice. Take Your Analytical Skills in Microsoft Power BI to the Next Level

A

Мишель Розема, Хенк Влотман

AI and ML
EN
Python Tools for Data Scientists Pocket Primer

Python Tools for Data Scientists Pocket Primer

A

Oswald Campesato

AI and ML
EN
Beginner’s Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications

Beginner’s Guide to Streamlit with Python: Build Web-Based Data and Machine Learning Applications

B

Sujay Raghavendra

AI and ML
EN
Analytics Engineering with SQL and dbt: Building Meaningful Data Models at Scale

Analytics Engineering with SQL and dbt: Building Meaningful Data Models at Scale

A

Rui Machado, Hélder Russa

AI and ML
EN
Streaming Data Mesh: A Model for Optimizing Real-Time Data Services

Streaming Data Mesh: A Model for Optimizing Real-Time Data Services

A

Hubert Dulay, Stephen Mooney

AI and ML
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