Books / AI and ML

AI and ML

All Programming languages 1482AI and ML 738Algorithms and theory 497Software Development 444WEB development 371DevOps and Infrastructure 265Cybersecurity 224OS and System 167Databases 146Other 145Game development 139Embedded systems 129IT management 102
All Data Science 245Machine learning 145LLM 101Neural networks 90ChatGPT 36TensorFlow 28Computer Vision 26PyTorch 20MLOps 18Natural Language Processing 12熊猫 9AI Agents 1
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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
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
RU
Machine Learning System Design

Machine Learning System Design

A

Чип Хьюен (Chip Huyen)

AI and ML
EN
Applied Deep Learning: Design and implement your own Neural Networks to solve real-world problems

Applied Deep Learning: Design and implement your own Neural Networks to solve real-world problems

A

Dr. Neeraj Kumar, Dr. Rajkumar Tekchandani

AI and ML
EN
Machine Learning with Python: Theory and Applications

Machine Learning with Python: Theory and Applications

A

G. R. Liu

AI and ML
EN
Machine Learning for Engineers: Principles and Algorithms through Signal Processing and Information Theory

Machine Learning for Engineers: Principles and Algorithms through Signal Processing and Information Theory

A

Osvaldo Simeone

AI and ML
EN
Machine Learning for Causal Inference

Machine Learning for Causal Inference

A

Sheng Li, Zhixuan Chu (Editors)

AI and ML
EN
Statistics and Data Visualisation with Python

Statistics and Data Visualisation with Python

A

Jesús Rogel-Salazar

AI and ML
EN
Machine Learning for Emotion Analysis in Python

Machine Learning for Emotion Analysis in Python

A

Allan Ramsay, Tariq Ahmad

AI and ML
EN
Ultimate Neural Network Programming with Python: Create Powerful Modern AI Systems by Harnessing Neural Networks with Python, Keras, and TensorFlow

Ultimate Neural Network Programming with Python: Create Powerful Modern AI Systems by Harnessing Neural Networks with Python, Keras, and TensorFlow

A

Vishal Rajput

AI and ML
EN
Python Machine Learning Projects: Learn how to build Machine Learning projects from scratch

Python Machine Learning Projects: Learn how to build Machine Learning projects from scratch

A

Dr. Deepali R Vora, Dr. Gresha S Bhatia

AI and ML
RU
Python for Data Science

Python for Data Science

A

Юлий Васильев

AI and ML
EN
Python Deep Learning

Python Deep Learning

A

Ivan Vasilev

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
Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

A

Maxime Labonne

AI and ML
EN
Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

A

David Foster

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
Machine Learning for High-Risk Applications: Approaches to Responsible AI

Machine Learning for High-Risk Applications: Approaches to Responsible AI

A

Patrick Hall, James Curtis, Parul Pandey

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
Crafting Applications with ChatGPT API Using Python

Crafting Applications with ChatGPT API Using Python

A

Mike Gold

AI and ML
EN
Designing Deep Learning Systems: A Guide for Software Engineers

Designing Deep Learning Systems: A Guide for Software Engineers

A

Chi Wang, Donald Szeto, Yan Xue

AI and ML
EN
Managing Datasets and Models

Managing Datasets and Models

A

Oswald Campesato

AI and ML
EN
Causal Inference and Discovery in Python – Machine Learning and Pearlian Perspective

Causal Inference and Discovery in Python – Machine Learning and Pearlian Perspective

A

Aleksander Molak

AI and ML
RU
Machine Learning. Portfolio of Real Projects

Machine Learning. Portfolio of Real Projects

A

Алексей Григорьев

AI and ML
RU
GPT-3: Python Programming by Example

GPT-3: Python Programming by Example

A

Aймен Эль Амри

AI and ML
RU
GPT-3: A Guide to Using the OpenAI API

GPT-3: A Guide to Using the OpenAI API

A

Сандра Кублик, Шубхам Сабу

AI and ML
EN
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

Мишель Розема, Хенк Влотман

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

Пэм Бейкер

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

Серхио Рохас-Галеано

AI and ML
RU
Chat GPT and the AI Revolution

Chat GPT and the AI Revolution

B

Тимур Казанцев

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
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