• Books
  • Tag: machine learning

Books — machine learning

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
RU
The Little Learner: A Marvelous Machine Learning

The Little Learner: A Marvelous Machine Learning

A

Дэниел П. Фридман, Анураг Мендхекар

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
Smart Mobile Projects with TensorFlow. 10+ Artificial Intelligence Applications Built Using TensorFlow Mobile and TensorFlow Lite Platforms for iOS, Android, and Raspberry Pi

Smart Mobile Projects with TensorFlow. 10+ Artificial Intelligence Applications Built Using TensorFlow Mobile and TensorFlow Lite Platforms for iOS, Android, and Raspberry Pi

A

Джефф Танг

AI and ML
RU
Deep Learning with Python. The Complete Guide to Building Artificial Intelligence Applications

Deep Learning with Python. The Complete Guide to Building Artificial Intelligence Applications

B

Александр Гладков, Евгений Бурнаев

AI and ML
RU
Methods and Technologies for Big Data Processing

Methods and Technologies for Big Data Processing

A

М.М. Железнов

AI and ML
RU
Machine Learning Technologies. Educational and Methodological Guide

Machine Learning Technologies. Educational and Methodological Guide

A

П.Е. Гладилин, К.О. Боченина

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

Владстон Феррейра Фило, Мото Пиктет

AI and ML
RU
Machine Learning for Absolute Beginners. An Introductory Course Explained in Simple Language

Machine Learning for Absolute Beginners. An Introductory Course Explained in Simple Language

A

Оливер Теобальд

AI and ML
RU
Fundamentals of Artificial Intelligence: A Non-Technical Introduction

Fundamentals of Artificial Intelligence: A Non-Technical Introduction

A

Том Таулли

AI and ML
RU
Machine Learning with Low-Code

Machine Learning with Low-Code

A

Гвендолин Стриплинг, Майкл Абель

AI and ML
RU
Deep Learning with Python. Keras, TensorFlow, and scikit-learn Libraries

Deep Learning with Python. Keras, TensorFlow, and scikit-learn Libraries

B

Дж. В. Вандер Плас

AI and ML
RU
Python Programming for Machine Learning

Python Programming for Machine Learning

B

Д. Н. Иванов

AI and ML
RU
Python Programming for Machine Learning: From Fundamentals to Building Intelligent Applications

Python Programming for Machine Learning: From Fundamentals to Building Intelligent Applications

B

Игорь Семененко

AI and ML
RU
Statistical Methods for Data Mining.PDF

Statistical Methods for Data Mining.PDF

F
Algorithms and theory
RU
Artificial Intelligence System Design

Artificial Intelligence System Design

A

С.Л. Сотник

Algorithms and theory
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