Books / AI and ML / Data Science

AI and ML

All Programming languages 1404AI and ML 692Algorithms and theory 488Software Development 418WEB development 354DevOps and Infrastructure 251Cybersecurity 222OS and System 163Databases 144Game development 133Embedded systems 128Other 125IT management 100
All Data Science 224Machine learning 138LLM 90Neural networks 88ChatGPT 34TensorFlow 27Computer Vision 26PyTorch 19MLOps 17Natural Language Processing 12熊猫 9AI Agents 1
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
EN
Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing

Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing

A

Alfonso Antolínez García

AI and ML
EN
Web Data Mining with Python: Discover and extract information from the web using Python

Web Data Mining with Python: Discover and extract information from the web using Python

A

Dr. Ranjana Rajnish, Dr. Meenakshi Srivastava

AI and ML
RU
Data Science in Action. Five Real Python Projects

Data Science in Action. Five Real Python Projects

A

Леонард Апельцин

AI and ML
EN
Training Data for Machine Learning: Human Supervision from Annotation to Data Science

Training Data for Machine Learning: Human Supervision from Annotation to Data Science

A

Anthony Sarkis

AI and ML
EN
Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python

Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python

A

Mike X Cohen

AI and ML
RU
Behavioral Data Analysis with R and Python

Behavioral Data Analysis with R and Python

A

Флоран Бюиссон

AI and ML
EN
Coding All-in-One For Dummies, 2nd Edition

Coding All-in-One For Dummies, 2nd Edition

A

Chris Minnick, Nikhil Abraham, Barry Burd, Eva Holland, Luca Massaron, John Paul Mueller

AI and ML
EN
The Book of Dash: Build Dashboards with Python and Plotly

The Book of Dash: Build Dashboards with Python and Plotly

A

Adam Schroeder, Christian Mayer, Ann Marie Ward

AI and ML
EN
Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines

Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data Pipelines

A

Barr Moses, Lior Gavish, Molly Vorwerck

AI and ML
EN
Data Visualization with Python and JavaScript: Scrape, Clean, Explore, and Transform Your Data

Data Visualization with Python and JavaScript: Scrape, Clean, Explore, and Transform Your Data

A

Kyran Dale

AI and ML
EN
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

A

Steven L. Brunton, J. Nathan Kutz

AI and ML
RU
Practical Data Analytics. Data Collection, Processing, and Visualization with Python

Practical Data Analytics. Data Collection, Processing, and Visualization with Python

A

Игорь Семичев

AI and ML
RU
Interactive dashboards and applications with Plotly and Dash. Harness the full power of a comprehensive web framework in Python – no JavaScript required.

Interactive dashboards and applications with Plotly and Dash. Harness the full power of a comprehensive web framework in Python – no JavaScript required.

A

Элиас Даббас

AI and ML
RU
Theoretical Minimum in Computer Science. Networks, Cryptography, and Data Science

Theoretical Minimum in Computer Science. Networks, Cryptography, and Data Science

A

Владстон Феррейра Фило, Мото Пиктет

AI and ML
RU
Big Data. Why, What, and How?

Big Data. Why, What, and How?

A

Алена Запорожан

AI and ML
RU
Analyzing Data in Microsoft Power BI. Preparing for the DA-100 Exam

Analyzing Data in Microsoft Power BI. Preparing for the DA-100 Exam

A

Даниил Маслюк

AI and ML
RU
Data Science Algorithms and Their Practical Implementation in Python

Data Science Algorithms and Their Practical Implementation in Python

B

А. В. Протодьяконов, П. А. Пылов, В. Е. Садовников

AI and ML
EN
Machine Learning and Data Science: Fundamentals and Applications

Machine Learning and Data Science: Fundamentals and Applications

A

Prateek Agrawal, Charu Gupta, Anand Sharma, Vishu Madaan, Nisheeth Joshi

AI and ML
EN
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

A

Thomas Nield

AI and ML
RU
Power BI: Expert-Level Modeling

Power BI: Expert-Level Modeling

A

Сохейл Бахши

AI and ML
EN
Communicating with Data: Making Your Case with Data

Communicating with Data: Making Your Case with Data

A

Carl Allchin

AI and ML
EN
Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python

Mastering Financial Pattern Recognition: Finding and Back-Testing Candlestick Patterns with Python

A

Sofien Kaabar

AI and ML
EN
Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics

Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics

A

Roy Jafari

AI and ML
EN
Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

A

Joe Reis, Matt Housley

AI and ML
EN
Data Science: A First Introduction

Data Science: A First Introduction

A

Tiffany Timbers, Trevor Campbell, Melissa Lee

AI and ML
EN
Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge Devices

Adaptive Machine Learning Algorithms with Python: Solve Data Analytics and Machine Learning Problems on Edge Devices

A

Chanchal Chatterjee

AI and ML
EN
Python for Data Analysis. Data Processing with pandas, NumPy, and Jupyter

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

A

Уэс Маккинни

AI and ML
EN
Data Analysis with Python and PySpark

Data Analysis with Python and PySpark

A

Джонатан Риу

AI and ML
RU
Scientific Programming in Python

Scientific Programming in Python

A

Кристиан Хилл

AI and ML
EN
Data Science For Dummies, 3rd Edition

Data Science For Dummies, 3rd Edition

A

Lillian Pierson

AI and ML
RU
Stream Data Processing with Apache Flink. Fundamentals of Developing Streaming Applications

Stream Data Processing with Apache Flink. Fundamentals of Developing Streaming Applications

A

Фабиан Уэске, Василики Калаври

AI and ML
RU
Comprehensive Guide to DAX: Business Intelligence with Microsoft Power BI, SQL Server Analysis Services, and Excel

Comprehensive Guide to DAX: Business Intelligence with Microsoft Power BI, SQL Server Analysis Services, and Excel

A

Марко Руссо, Альберто Феррари

AI and ML
RU
Data Mining with Python

Data Mining with Python

B

Демидова Л. А.

AI and ML
RU
Analytics in Power BI with R and Python. Data Loading, Transformation, and Visualization

Analytics in Power BI with R and Python. Data Loading, Transformation, and Visualization

A

Райан Уэйд

AI and ML
EN
Python and R for the Modern Data Scientist: The Best of Both Worlds

Python and R for the Modern Data Scientist: The Best of Both Worlds

A

Rick J. Scavetta, Boyan Angelov

AI and ML
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
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

Чарльз Р. Северанс

AI and ML
RU
Data Science. Data Science from Scratch

Data Science. Data Science from Scratch

A

Джоэл Грае (Joel Grus)

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

Бас Харенслак, Джулиан де Руйтер

AI and ML
RU
Data Science for Career Advancement

Data Science for Career Advancement

A

Нолис Жаклин, Робинсон Эмили

AI and ML
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