Books / AI and ML

AI and ML

All Programming languages 1540AI and ML 762Algorithms and theory 505Software Development 472WEB development 390DevOps and Infrastructure 272Cybersecurity 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
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Managing Machine Learning Projects: From design to deployment

Managing Machine Learning Projects: From design to deployment

A

Simon Thompson

AI and ML
EN
A Handbook of Mathematical Models with Python

A Handbook of Mathematical Models with Python

A

Dr. Ranja Sarkar

AI and ML
EN
50 Days of Data Analysis with Python: The Ultimate Challenges Book for Beginners

50 Days of Data Analysis with Python: The Ultimate Challenges Book for Beginners

B

Benjamin Bennett Alexander

AI and ML
EN
R All-in-One For Dummies

R All-in-One For Dummies

A

Joseph Schmuller

AI and ML
EN
Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries

Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries

A

Lee Vaughan

AI and ML
RU
Creating Video Games with PyGame

Creating Video Games with PyGame

A

Mike Gold

AI and ML
EN
ChatGPT Hacks for Teachers: A Comprehensive ChatGPT Guide for Educators for Teaching and Learning with Step-by-Step Instructions, Practical Demonstrations, Examples, Prompts, and Video Outputs

ChatGPT Hacks for Teachers: A Comprehensive ChatGPT Guide for Educators for Teaching and Learning with Step-by-Step Instructions, Practical Demonstrations, Examples, Prompts, and Video Outputs

A

Keshav Jha

AI and ML
EN
Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch

Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch

A

Adi Polak

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

Dmitry Malov

AI and ML
RU
Python for Machine Learning

Python for Machine Learning

A

Unknown

AI and ML
RU
Interpretable Machine Learning with Python

Interpretable Machine Learning with Python

A

Sergey Masis

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

Wes McKinney

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

Practical Data Processing: Python and Pandas for Professionals

A

Igor Svinarenko

AI and ML
RU
Grokking Deep Reinforcement Learning

Grokking Deep Reinforcement Learning

A

Miguel Morales

AI and ML
RU
Neural Networks. Audio Data Processing

Neural Networks. Audio Data Processing

A

Jade Carter

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

Ginko A. Y.

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

Xudong Ma, Vishakh Hegde, Lilit Yolyan

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

Building Machine Learning Applications: From Idea to Product

A

Emmanuel Ameisen

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

S.N. Yaryshev, V.A. Ryzhova, M.A. Volynsky

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

A. V. Gruzdev

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

Data Preprocessing in Python. Volume 1. Tools and Validation

A

A. V. Gruzdev

AI and ML
RU
Python Basics for Data Science

Python Basics for Data Science

A

Kennedy Berman

AI and ML
RU
Neural Networks. Natural Language Processing

Neural Networks. Natural Language Processing

A

Jade Carter

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

Computer Vision. Fundamentals and Algorithms with Examples in Matlab

A

Peter Cork

AI and ML
RU
Diving into Data Analytics

Diving into Data Analytics

A

George Mount

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

Paul Orland

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

Data Visualization: A Complete Course for Beginners

A

Tamara Mancner

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

A. I. Eliseev, Yu. V. Minin, Yu. V. Kulakov

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

Murat Durmus

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

Deep Learning with Python. Second International Edition

A

François Chollet

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

Meta-learning. Applications in AutoML and Data Science

A

Pavel Brazdil, Jan van Rijn, Carlos Soares, Joaquin Vanschoren

AI and ML
RU
Data Analysis Workshop with Python and R

Data Analysis Workshop with Python and R

A

O.A. Bayuk, M.R. Isaeva, M.O. Samsonkin

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

Wes McKinney

AI and ML
EN
OpenAI GPT For Python Developers: The art and science of developing intelligent apps with OpenAI GPT-3, DALL·E 2, CLIP, and Whisper

OpenAI GPT For Python Developers: The art and science of developing intelligent apps with OpenAI GPT-3, DALL·E 2, CLIP, and Whisper

A

Aymen El Amri @eon01

AI and ML
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