• Books
  • Tag: machine learning

Books — machine learning

EN
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

A

Bharath Ramsundar, Reza Bosagh Zadeh

AI and ML
EN
3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows

3D Data Science with Python: Building Accurate Digital Environments with 3D Point Cloud Workflows

A

Florent Poux

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
Time Series Forecasting Using Foundation Models

Time Series Forecasting Using Foundation Models

A

Marco Peixeiro

AI and ML
EN
Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands

Serverless Machine Learning with Amazon Redshift ML: Create, train, and deploy machine learning models using familiar SQL commands

A

Debu Panda, Phil Bates, Bhanu Pittampally, Sumeet Joshi

Databases
EN
Artificial Intelligence For Dummies, 3rd Edition

Artificial Intelligence For Dummies, 3rd Edition

A

John Paul Mueller, Luca Massaron, Stephanie Diamond

AI and ML
EN
AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

AI and ML for Coders in PyTorch: A Coder’s Guide to Generative AI and Machine Learning

A

Laurence Moroney

AI and ML
EN
Natural Language Processing: A Textbook with Python Implementation

Natural Language Processing: A Textbook with Python Implementation

A

Raymond S. T. Lee

AI and ML
EN
Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines

Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines

A

Kirill Kolodiazhnyi

AI and ML
EN
Transformers in Action

Transformers in Action

A

Nicole Koenigstein

AI and ML
EN
Statistics with Rust: 50+ Statistical Techniques Put into Action

Statistics with Rust: 50+ Statistical Techniques Put into Action

A

Keiko Nakamura

Programming languages
EN
Practical Machine Learning with Rust: Creating Intelligent Applications in Rust

Practical Machine Learning with Rust: Creating Intelligent Applications in Rust

A

Joydeep Bhattacharjee

AI and ML
EN
Modern Time Series Forecasting with Python. Second Edition

Modern Time Series Forecasting with Python. Second Edition

A

Manu Joseph, Jeffrey Tackes

AI and ML
EN
Grokking AI Algorithms, Second Edition: How AI solves complex problems

Grokking AI Algorithms, Second Edition: How AI solves complex problems

A

Rishal Hurbans

AI and ML
EN
Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

Deep Learning with PyTorch, Second Edition: Training and Applying Deep Learning and Generative AI Models

A

Howard Huang, Eli Stevens, Luca Antiga, Thomas Viehmann

AI and ML
EN
Applied Machine Learning: Using Machine Learning to Solve Business Problems

Applied Machine Learning: Using Machine Learning to Solve Business Problems

A

Jason Hodson

AI and ML
EN
Intermediate Python and Large Language Models

Intermediate Python and Large Language Models

A

Dilyan Grigorov

AI and ML
EN
PyTorch: The Practical Guide

PyTorch: The Practical Guide

A

Bert Gollnick

AI and ML
EN
Deep Learning: A Visual Approach

Deep Learning: A Visual Approach

A

Andrew Glassner

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
Explainable AI with Python, Second Edition

Explainable AI with Python, Second Edition

A

Antonio Di Cecco, Leonida Gianfagna

AI and ML
EN
Introduction to Generative AI: Reliable, responsible, and real-world applications

Introduction to Generative AI: Reliable, responsible, and real-world applications

A

Numa Dhamani, Maggie Engler

AI and ML
EN
Math and Architectures of Deep Learning

Math and Architectures of Deep Learning

A

Krishnendu Chaudhury, Ananya H. Ashok, Sujay Narumanchi, Devashish Shankar

AI and ML
RU
Autobiography of a Neural Network. The Artificial Intelligence That Learned to Communicate

Autobiography of a Neural Network. The Artificial Intelligence That Learned to Communicate

C

М.Р. Брослав, О.А. Яблокова

Algorithms and theory
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
EN
Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications

Prompt Engineering for LLMs: The Art and Science of Building Large Language Model–Based Applications

A

John Berryman, Albert Ziegler

AI and ML
EN
Machine Learning System Design: With End-to-End Examples

Machine Learning System Design: With End-to-End Examples

A

Valerii Babushkin, Arseny Kravchenko

AI and ML
EN
Generative AI for Web Development: Building Web Applications Powered by OpenAI APIs and Next.js

Generative AI for Web Development: Building Web Applications Powered by OpenAI APIs and Next.js

A

Tom Auger, Emma Saroyan

WEB development
EN
Building Applications with AI Agents: Designing and Implementing Multiagent Systems

Building Applications with AI Agents: Designing and Implementing Multiagent Systems

A

Michael Albada

AI and ML
RU
Deep Learning with Python. Keras, TensorFlow, PyTorch

Deep Learning with Python. Keras, TensorFlow, PyTorch

B

Антонио Гулли, Амит Капур

AI and ML
EN
Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

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

A

Aurélien Géron

AI and ML
RU
Python Programming for Machine Learning and Data Analysis

Python Programming for Machine Learning and Data Analysis

A

Игорь Семенов

AI and ML
RU
Python for Machine Learning: Classical and Deep Learning with Python using TensorFlow 2 and scikit-learn

Python for Machine Learning: Classical and Deep Learning with Python using TensorFlow 2 and scikit-learn

A

Андреас Мюллер, Сара Гвидо

AI and ML
EN
Building and Training Generative AI Models: A Practical Guide to Generative AI Development and Scaling

Building and Training Generative AI Models: A Practical Guide to Generative AI Development and Scaling

A

Irena Cronin

AI and ML
EN
Generative AI for Game Development: Crafting Narrative Worlds with Machines

Generative AI for Game Development: Crafting Narrative Worlds with Machines

A

Shesh Narayan Gupta

AI and ML
EN
Generative AI Design Patterns: Solutions to Common Challenges When Building GenAI Agents and Applications

Generative AI Design Patterns: Solutions to Common Challenges When Building GenAI Agents and Applications

A

Valliappa Lakshmanan, Hannes Hapke

AI and ML
EN
Agentic AI for Engineers: Architecting Goal-Driven Systems

Agentic AI for Engineers: Architecting Goal-Driven Systems

A

Dhivya Nagasubramanian

AI and ML
EN
Hands-On Genetic Algorithms with Python: Apply genetic algorithms to solve real-world AI and machine learning problems

Hands-On Genetic Algorithms with Python: Apply genetic algorithms to solve real-world AI and machine learning problems

A

Eyal Wirsansky

AI and ML
EN
Learn Data Science Using Python: A Quick-Start Guide

Learn Data Science Using Python: A Quick-Start Guide

A

Engy Fouda

AI and ML
EN
Generative AI Foundations in Python: Discover key techniques and navigate modern challenges in LLMs

Generative AI Foundations in Python: Discover key techniques and navigate modern challenges in LLMs

A

Carlos Rodriguez

AI and ML
EN
Computer Science From Scratch: Building Interpreters, Art, Emulators, and ML in Python

Computer Science From Scratch: Building Interpreters, Art, Emulators, and ML in Python

A

David Kopec

AI and ML
EN
Programming Neural Networks with Python

Programming Neural Networks with Python

A

Joachim Steinwendner, Roland Schwaiger

AI and ML
EN
Bioinformatics with Python Cookbook, Fourth Edition

Bioinformatics with Python Cookbook, Fourth Edition

A

Shane Brubaker

AI and ML
RU
Data Analysis with GenAI and Python

Data Analysis with GenAI and Python

A

Артур Гуджа, Марлена Сивяк, Мариан Сивяк

AI and ML
RU
The Romance of Artificial Intelligence

The Romance of Artificial Intelligence

A

В. В. Потопахин

Algorithms and theory
RU
Programming Languages for Intelligent Systems

Programming Languages for Intelligent Systems

D
AI and ML
RU
Large-Scale Machine Learning with Python

Large-Scale Machine Learning with Python

A

Бастиан Шарден, Лука Массарон, Альберто Боскетти

AI and ML
RU
Deep Learning Patterns and Practices

Deep Learning Patterns and Practices

A

Эндрю Ферлитш

AI and ML
RU
Introduction to Deep Learning

Introduction to Deep Learning

A

Евгений Черняк

AI and ML
RU
Neural Networks and Deep Learning: A Training Course

Neural Networks and Deep Learning: A Training Course

A

Чару Аггарвал

AI and ML
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