Books / AI and ML

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
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The Science of Deep Learning

The Science of Deep Learning

A

Iddo Drori

AI and ML
EN
Developing Time Series Forecasting Models with Generative Artificial Intelligence

Developing Time Series Forecasting Models with Generative Artificial Intelligence

B

Juan Morales-Garcia, Antonio Llanes, Francisco Arcas-Tunez, Fernando Terroso-Saenz

AI and ML
EN
Data Wrangling Using Pandas, SQL, and Java

Data Wrangling Using Pandas, SQL, and Java

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

Michelle Rozema, Henk Vlotman

AI and ML
EN
Generative Deep Learning with Python: Unleashing the Creative Power of AI

Generative Deep Learning with Python: Unleashing the Creative Power of AI

A

Cuantum Technologies

AI and ML
EN
Robotics, Vision and Control: Fundamental Algorithms in Python

Robotics, Vision and Control: Fundamental Algorithms in Python

A

Peter Corke

AI and ML
EN
ChatGPT Prompts Mastering: A Complete Guide to Mastering Effective Prompts

ChatGPT Prompts Mastering: A Complete Guide to Mastering Effective Prompts

A

Christian Brown

AI and ML
RU
ChatGPT™ for Dummies®

ChatGPT™ for Dummies®

A

Pam Baker

AI and ML
RU
ChatGPT: Your Python Mentor. Mastering the Basics in 100 Queries

ChatGPT: Your Python Mentor. Mastering the Basics in 100 Queries

A

Sergio Rojas-Galeano

AI and ML
RU
Chat GPT and the AI Revolution

Chat GPT and the AI Revolution

B

Timur Kazantsev

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
Deep Learning for Crack-Like Object Detection

Deep Learning for Crack-Like Object Detection

A

Kaige Zhang, Heng-Da Cheng

AI and ML
EN
Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

A

Ben Auffarth

AI and ML
EN
Understanding Large Language Models: Learning Their Underlying Concepts and Technologies

Understanding Large Language Models: Learning Their Underlying Concepts and Technologies

A

Thimira Amaratunga

AI and ML
EN
Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python

Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python

A

Santanu Pattanayak

AI and ML
EN
MLOps Lifecycle Toolkit: A Software Engineering Roadmap for Designing, Deploying, and Scaling Stochastic Systems

MLOps Lifecycle Toolkit: A Software Engineering Roadmap for Designing, Deploying, and Scaling Stochastic Systems

A

Dayne Sorvisto

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
Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python, Second Edition

Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python, Second Edition

A

Shamshad Ansari

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
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques

Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques

A

Kumar Abhishek, Dr. Mounir Abdelaziz

AI and ML
EN
Pandas for Everyone: Python Data Analysis. Second Edition

Pandas for Everyone: Python Data Analysis. Second Edition

A

Daniel Y. Chen

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
Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals

Learning Pandas 2.0: A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals

A

Matthew Rosch

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
EN
Practical Machine Learning on Databricks

Practical Machine Learning on Databricks

A

Debu Sinha

AI and ML
RU
Pandas in Action

Pandas in Action

A

Boris Paskhaver

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

Data Science in Action. Five Real Python Projects

A

Leonard Apeltsin

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
Artificial Intelligence For Dummies, 2nd Edition

Artificial Intelligence For Dummies, 2nd Edition

A

John Paul Mueller, Luca Massaron

AI and ML
EN
Machine Learning with PyTorch and Scikit-Learn

Machine Learning with PyTorch and Scikit-Learn

A

Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili

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

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
RU
Deep Learning with Python. Second Edition

Deep Learning with Python. Second Edition

B

François Chollet

AI and ML
RU
PyTorch. Illuminating Deep Learning

PyTorch. Illuminating Deep Learning

A

Eli Stevens, Luca Antiga, Thomas Viemann

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
Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

A

Aurélien Géron

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
Deep Learning Patterns and Practices

Deep Learning Patterns and Practices

A

Andrew Ferlitsch

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
Explainable AI Models in Python. AI Model. Explanations Using Python-Based Libraries, Extensions, and Frameworks.

Explainable AI Models in Python. AI Model. Explanations Using Python-Based Libraries, Extensions, and Frameworks.

A

Pradipta Mishra

AI and ML
RU
Computer Vision. Modern Methods and Development Prospects

Computer Vision. Modern Methods and Development Prospects

A

Roy Davis, Matthew Turk (eds.)

AI and ML
RU
Applying OpenCV Functions in Computer Vision (60 Python Examples)

Applying OpenCV Functions in Computer Vision (60 Python Examples)

A

S.A. Molodyakov

AI and ML
RU
Human-in-the-loop machine learning

Human-in-the-loop machine learning

A

Robert (Munro) Monarch

AI and ML
RU
Machine Learning: Fundamentals, Algorithms, and Practical Applications

Machine Learning: Fundamentals, Algorithms, and Practical Applications

A

Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos

AI and ML
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