Books / AI and ML

AI and ML

All Programming languages 1290AI and ML 661Algorithms and theory 470Software Development 391WEB development 333DevOps and Infrastructure 233Cybersecurity 218Databases 144OS and System 142Game development 122Embedded systems 119Other 109IT management 100
All Data Science 209Machine learning 133Neural networks 87LLM 85ChatGPT 31TensorFlow 27Computer Vision 24PyTorch 19MLOps 17Natural Language Processing 12熊猫 9AI Agents 1
RU
Elasticsearch for Developers: Indexing, Analysis, Search, and Data Aggregation. 2nd Edition

Elasticsearch for Developers: Indexing, Analysis, Search, and Data Aggregation. 2nd Edition

A

Анураг Шривастава

AI and ML
RU
Prompt Engineering for GenAI. Reliable Query Patterns for Quality Results

Prompt Engineering for GenAI. Reliable Query Patterns for Quality Results

A

Джеймс Феникс, Майк Тейлор

AI and ML
RU
Causal Analysis for the Bold and Honest

Causal Analysis for the Bold and Honest

A

Матеус Факур, Артем Груздев

AI and ML
RU
Big Data. Modern Frameworks and Application Development

Big Data. Modern Frameworks and Application Development

A

Доминико Талия, Паоло Трунфио, Фабрицио Мароццо, Лорис Белькастро, Риккардо Кантини, Алессио Орсино

AI and ML
RU
Machine Learning with Low-Code

Machine Learning with Low-Code

A

Гвендолин Стриплинг, Майкл Абель

AI and ML
RU
Machine Learning. From Basics to Advanced Models

Machine Learning. From Basics to Advanced Models

A

Саймон Принс

AI and ML
RU
Machine Learning: Fundamentals

Machine Learning: Fundamentals

A

Сергей Николенко

AI and ML
RU
Neural Networks in Python. Fundamentals of AI and Machine Learning

Neural Networks in Python. Fundamentals of AI and Machine Learning

A

Куликова И. В.

AI and ML
RU
AI-based search

AI-based search

A

Трей Грейнджер, Дуг Тернбулл, Макс Ирвин

AI and ML
RU
Data in the fight against customer churn. Analytics, dataset, metrics, and segmentation.

Data in the fight against customer churn. Analytics, dataset, metrics, and segmentation.

A

Карл Голд

AI and ML
EN
The Elements of Differentiable Programming

The Elements of Differentiable Programming

A

Mathieu Blondel, Vincent Roulet

AI and ML
EN
Advanced Forecasting with Python: Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools, Second Edition

Advanced Forecasting with Python: Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools, Second Edition

A

Joos Korstanje

AI and ML
EN
Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development

Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development

A

Richard D Avila, Imran Ahmad

AI and ML
RU
Python: Pandas in Practice. 200 Data Analysis Exercises with Solutions and Explanations

Python: Pandas in Practice. 200 Data Analysis Exercises with Solutions and Explanations

A

Реувен Лернер

AI and ML
RU
AI-Assisted Programming: Enhanced Planning, Coding, Testing, and Deployment

AI-Assisted Programming: Enhanced Planning, Coding, Testing, and Deployment

A

Том Таулли

AI and ML
EN
Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

A

Banglore Vijay Kumar Vishwas, Sri Ram Macharla

AI and ML
EN
Data Without Labels: Practical Unsupervised Machine Learning

Data Without Labels: Practical Unsupervised Machine Learning

A

Vaibhav Verdhan

AI and ML
EN
Data Analysis with LLMs: Text, tables, images and sound

Data Analysis with LLMs: Text, tables, images and sound

A

Immanuel Trummer

AI and ML
EN
Data Science: A First Introduction with Python

Data Science: A First Introduction with Python

A

Tiffany Timbers, Trevor Campbell, Melissa Lee, Joel Ostblom, Lindsey Heagy

AI and ML
EN
Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI

A

Mark Ryan, Luca Massaron

AI and ML
EN
Build a Large Language Model (From Scratch)

Build a Large Language Model (From Scratch)

A

Sebastian Raschka

AI and ML
EN
How Large Language Models Work

How Large Language Models Work

A

Edward Raff, Drew Farris, Stella Biderman

AI and ML
EN
Python for Excel: Financial Modeling & Data Automation

Python for Excel: Financial Modeling & Data Automation

A

Hayden Van Der Post

AI and ML
EN
The Art of AI Product Development: Delivering Business Value

The Art of AI Product Development: Delivering Business Value

A

Dr. Janna Lipenkova

AI and ML
EN
AI Agents in Action

AI Agents in Action

A

Micheal Lanham

AI and ML
EN
Starting Data Analytics with Generative AI and Python

Starting Data Analytics with Generative AI and Python

A

Artur Guja, Marlena Siwiak, Marian Siwiak

AI and ML
EN
Scaling Enterprise Solutions with Large Language Models: Comprehensive End-to-End Generative AI Solutions for Production-Grade Enterprise Solutions

Scaling Enterprise Solutions with Large Language Models: Comprehensive End-to-End Generative AI Solutions for Production-Grade Enterprise Solutions

A

Arindam Ganguly

AI and ML
EN
Effective Conversational AI: Chatbots that Work

Effective Conversational AI: Chatbots that Work

A

Andrew R. Freed, Cari Jacobs, Enikő Rózsa

AI and ML
EN
Data Science and Analytics with Python. Second Edition

Data Science and Analytics with Python. Second Edition

A

Jesús Rogel-Salazar

AI and ML
EN
Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools

Ultimate Data Science Programming in Python: Master data science libraries with 300+ programs, 2 projects, and EDA GUI tools

A

Saurabh Chandrakar

AI and ML
EN
The Hundred-Page Language Models Book

The Hundred-Page Language Models Book

A

Andriy Burkov

AI and ML
EN
Graph Neural Networks in Action

Graph Neural Networks in Action

A

Keita Broadwater, Namid Stillman

AI and ML
EN
Building Generative AI Applications with Open Source Libraries: A Practical Guide to Implementing Large Language Models

Building Generative AI Applications with Open Source Libraries: A Practical Guide to Implementing Large Language Models

A

Srikannan Balakrishnan

AI and ML
EN
The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro

The Well-Grounded Data Analyst: Solve Messy Data Problems Like a Pro

A

David Asboth

AI and ML
RU
Data Engineering in Python: Fundamentals of Data Analysis with Pandas, NumPy, and Scikit-learn

Data Engineering in Python: Fundamentals of Data Analysis with Pandas, NumPy, and Scikit-learn

A

А. Ю. Гинько (переводчик)

AI and ML
RU
Causal Inference with Python. Cause-and-Effect Relationships in IT Development

Causal Inference with Python. Cause-and-Effect Relationships in IT Development

A

Матеуш Факур

AI and ML
RU
Data Science: Problems and Solutions

Data Science: Problems and Solutions

A

А.С. Ватьян, Н.Ф. Гусарова, Н.В. Добренко

AI and ML
RU
Python. Data Systems Analysis, Calculations, and Modeling

Python. Data Systems Analysis, Calculations, and Modeling

A

Иоаким Сунднес

AI and ML
EN
Think Python, Third Edition: How to Think Like a Computer Scientist

Think Python, Third Edition: How to Think Like a Computer Scientist

A

Allen B. Downey

AI and ML
EN
Deep Learning: Foundations and Concepts

Deep Learning: Foundations and Concepts

A

Christopher M. Bishop, Hugh Bishop

AI and ML
EN
Big Data Management and Analytics

Big Data Management and Analytics

A

Brij B Gupta, Mamta

AI and ML
EN
Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms

Data Engineering for Machine Learning Pipelines: From Python Libraries to ML Pipelines and Cloud Platforms

A

Pavan Kumar Narayanan

AI and ML
EN
Generative AI in Higher Education: The ChatGPT Effect

Generative AI in Higher Education: The ChatGPT Effect

A

Cecilia Ka Yuk Chan, Tom Colloton

AI and ML
EN
Coding with AI For Dummies

Coding with AI For Dummies

A

Chris Minnick

AI and ML
EN
Building Generative AI-Powered Apps: A Hands-on Guide for Developers

Building Generative AI-Powered Apps: A Hands-on Guide for Developers

A

Aarushi Kansal

AI and ML
EN
Software Engineering for Data Scientists: From Notebooks to Scalable Systems

Software Engineering for Data Scientists: From Notebooks to Scalable Systems

A

Catherine Nelson

AI and ML
EN
Hands-On APIs for AI and Data Science

Hands-On APIs for AI and Data Science

A

Ryan Day

AI and ML
EN
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

A

Sebastian Raschka

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

Machine Learning with PyTorch and Scikit-Learn

A

Себастьян Рашка, Юси (Хэйден) Лю, Вахид Мирджалили

AI and ML
RU
Applied Machine Learning and Artificial Intelligence for Engineers

Applied Machine Learning and Artificial Intelligence for Engineers

A

Джефф Просиз

AI and ML
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