Books / AI and ML

AI and ML

All Programming languages 1843AI and ML 869Software Development 594Algorithms and theory 547WEB development 462DevOps and Infrastructure 330Other 257Cybersecurity 232OS and System 207Game development 187Databases 157Embedded systems 150IT management 108
All Data Science 292Machine learning 168LLM 126Neural networks 96Computer Vision 41ChatGPT 39TensorFlow 30PyTorch 22Natural Language Processing 20MLOps 18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
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