Books — deep learning

EN
Artificial Intelligence For Dummies, 2nd Edition

Artificial Intelligence For Dummies, 2nd Edition

A

John Paul Mueller, Luca Massaron

AI and ML
EN
Digital Signal Processing: Illustration Using Python

Digital Signal Processing: Illustration Using Python

A

S. Esakkirajan, T. Veerakumar, Badri N. Subudhi

Programming languages
EN
Practical Deep Learning: A Python-Based Introduction

Practical Deep Learning: A Python-Based Introduction

A

Ronald T. Kneusel

AI and ML
RU
Machine Learning with R. Expert Techniques for Predictive Analysis

Machine Learning with R. Expert Techniques for Predictive Analysis

A

Бретт Ланц

AI and ML
EN
Accelerate Model Training with PyTorch 2.X

Accelerate Model Training with PyTorch 2.X

A

Maicon Melo Alves

AI and ML
EN
How AI Works: From Sorcery to Science

How AI Works: From Sorcery to Science

A

Ronald T. Kneusel

AI and ML
EN
AI Essentials Guide: Principles for Navigating the Next Tech Renaissance

AI Essentials Guide: Principles for Navigating the Next Tech Renaissance

A

William Hawkins

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

Machine Learning with PyTorch and Scikit-Learn

A

Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili

AI and ML
EN
Python: Deeper Insights into Machine Learning

Python: Deeper Insights into Machine Learning

A

Sebastian Raschka, David Julian, John Hearty

AI and ML
EN
Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects

Mastering OpenCV with Python: Use NumPy, Scikit, TensorFlow, and Matplotlib to learn Advanced algorithms for Machine Learning through a set of Practical Projects

A

Ayush Vaishya

AI and ML
RU
Deep Learning and Data Analysis. A Practical Guide

Deep Learning and Data Analysis. A Practical Guide

A

Дмитрий Малов

AI and ML
EN
Grokking Deep Learning

Grokking Deep Learning

A

Andrew W. Trask

AI and ML
EN
Ultimate Enterprise Data Analysis and Forecasting using Python

Ultimate Enterprise Data Analysis and Forecasting using Python

A

Shanthababu Pandian

DevOps and Infrastructure
RU
Immortal I. - Artificial Intelligence Systems (Professional Education) - 2019

Immortal I. - Artificial Intelligence Systems (Professional Education) - 2019

D
WEB development
EN
Deep Learning: Foundations and Concepts

Deep Learning: Foundations and Concepts

A

Christopher M. Bishop, Hugh Bishop

AI and ML
EN
Machine Learning Bookcamp: Build a Portfolio of Real-Life Projects

Machine Learning Bookcamp: Build a Portfolio of Real-Life Projects

A

Alexey Grigorev

AI and ML
EN
Building Large Language Models from Scratch: Design, Train, and Deploy LLMs with PyTorch

Building Large Language Models from Scratch: Design, Train, and Deploy LLMs with PyTorch

A

Dilyan Grigorov

AI and ML
EN
Deep Learning for Life Sciences: with Python Notebooks for Examples and Exercises

Deep Learning for Life Sciences: with Python Notebooks for Examples and Exercises

A

Filippo Biscarini, Nelson Nazzicari

AI and ML
EN
Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fifth Edition

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for Python, Fifth Edition

A

Morton John Canty

Algorithms and theory
EN
Practical Neural Networks in Python and MATLAB

Practical Neural Networks in Python and MATLAB

A

Chunwei Zhang, Tianpeng Li, Ying Dai, Li Sun, Ardashir Mohammadzadeh

AI and ML
RU
Machine Learning: A Complete Guide

Machine Learning: A Complete Guide

B

Неизвестен

AI and ML
RU
Autobiography of a Neural Network

Autobiography of a Neural Network

C

Нейросеть (сост. М.Р. Брослав, О.А. Яблоков)

AI and ML
EN
Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques

Mastering Computer Vision with PyTorch 2.0: Discover, Design, and Build Cutting-Edge High Performance Computer Vision Solutions with PyTorch 2.0 and Deep Learning Techniques

A

M. Arshad Siddiqui

AI and ML
EN
Coding with AI For Dummies

Coding with AI For Dummies

A

Chris Minnick

AI and ML
RU
Deep Learning with Python. Keras and TensorFlow Libraries

Deep Learning with Python. Keras and TensorFlow Libraries

A

Франсуа Шолле

AI and ML
RU
Anirad, K. et al. - Artificial Intelligence and Computer Vision. Real Projects with Python, Keras, and TensorFlow (O’Reilly Bestsellers) - 2023

Anirad, K. et al. - Artificial Intelligence and Computer Vision. Real Projects with Python, Keras, and TensorFlow (O’Reilly Bestsellers) - 2023

A

К. Анирад

AI and ML
RU
Cronin I. - Building and Training Generative AI Models - 2026

Cronin I. - Building and Training Generative AI Models - 2026

A

I. Cronin

AI and ML
RU
Artificial Intelligence: A Modern Approach. Fourth Edition. Volume 3. Learning, Perception, and Action

Artificial Intelligence: A Modern Approach. Fourth Edition. Volume 3. Learning, Perception, and Action

A

Стюарт Рассел, Питер Норвиг

Algorithms and theory
RU
Deep Learning for Computer Vision Systems

Deep Learning for Computer Vision Systems

A

М. В. Ронкин, А. Ю. Долганов

AI and ML
RU
Deep Learning Without Mathematics. Volume 1. Fundamentals

Deep Learning Without Mathematics. Volume 1. Fundamentals

A

Эндрю Гласснер

AI and ML
RU
Deep Learning Without Mathematics. Volume 2. Practice

Deep Learning Without Mathematics. Volume 2. Practice

A

Эндрю Гласснер

AI and ML
RU
Deep Learning from a Practitioner's Perspective

Deep Learning from a Practitioner's Perspective

A

Джош Паттерсон, Адам Гибсон

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
Mathematics and Architecture of Deep Learning

Mathematics and Architecture of Deep Learning

A

Кришнанду Чаудхури, Ананья Хоннедевастхана Ашок, Суджай Наруманчи, Девашиш Шанкар

Algorithms and theory
RU
Deep Learning with Python. Second Edition

Deep Learning with Python. Second Edition

B

Франсуа Шолле

AI and ML
RU
PyTorch. Illuminating Deep Learning

PyTorch. Illuminating Deep Learning

A

Эли Стивенс, Лука Антига, Томас Виман

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
Building an LLM from Scratch

Building an LLM from Scratch

A

Себастьян Рашка

AI and ML
RU
Deep Learning in Biology and Medicine

Deep Learning in Biology and Medicine

A

Бхарат Рамсундар, Питер Истман, Патрик Уолтерс, Виджай Панде

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
RU
Grokking Deep Reinforcement Learning

Grokking Deep Reinforcement Learning

A

Мигель Моралес

AI and ML
RU
Large Language Model-Based Recommendation Systems. Full Development Cycle: From Pre-training to Deployment of Intelligent Agents

Large Language Model-Based Recommendation Systems. Full Development Cycle: From Pre-training to Deployment of Intelligent Agents

A

Лю Лу, Чжан Юйцзюнь

AI and ML
RU
Natural Language Processing in Action. 2nd Edition

Natural Language Processing in Action. 2nd Edition

A

Хобсон Лейн, Мария Дышель

AI and ML
RU
Graph Neural Networks in Python

Graph Neural Networks in Python

A

Максим Лабонн, Артем Груздев

AI and ML
RU
Deep Learning for Dummies

Deep Learning for Dummies

A

Джон Пол Мюллер, Лука Массарон

AI and ML
RU
Deep Learning: Principles and Concepts

Deep Learning: Principles and Concepts

A

Кристофер М. Бишоп, Хью Бишоп

AI and ML
EN
Visual Object Tracking: An Evaluation Perspective

Visual Object Tracking: An Evaluation Perspective

A

Xin Zhao, Shiyu Hu, Xu-Cheng Yin

AI and ML
EN
Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence

Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence

A

Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, Joana B. Pereira, Carlo Manzo

AI and ML
EN
Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing

Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing

A

Armando Vieira, Bernardete Ribeiro

AI and ML
EN
Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines

Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines

A

Xavier Vasques

AI and ML
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