Books / AI and ML / Data Science

AI and ML

All Programming languages 1538AI and ML 762Algorithms and theory 505Software Development 470WEB development 390DevOps and Infrastructure 271Cybersecurity 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 72025 282024 402023 472022 242021 162020 212019 102018 132017 32016 62015 132014 22013 42012 12007 11994 1
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

Florent Buisson

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

Igor Semichev

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

Elias Dabbas

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

Vladston Ferreira Filho, Moto Pickett

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

Big Data. Why, What, and How?

A

Alena Zaporozhan

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

Daniil Maslyuk

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

Data Science Algorithms and Their Practical Implementation in Python

B

A. V. Protodyakonov, P. A. Pylov, V. E. Sadovnikov

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

Soheil Bakhshi

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

Wes McKinney

AI and ML
EN
Data Analysis with Python and PySpark

Data Analysis with Python and PySpark

A

Jonathan Rioux

AI and ML

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