Books — deep learning

EN
Applied Machine Learning and AI for Engineers

Applied Machine Learning and AI for Engineers

A

Jeff Prosise

AI and ML
RU
Applied Text Data Analysis with Python. Machine Learning and Natural Language Processing Application Development

Applied Text Data Analysis with Python. Machine Learning and Natural Language Processing Application Development

A

Бенджамин Бенгфорт, Ребекка Билбро, Тони Охеда

AI and ML
RU
Applied Unsupervised Machine Learning with Python

Applied Unsupervised Machine Learning with Python

A

Анкур Пател

AI and ML
EN
Practical TensorFlow.js: Deep Learning in Web App Development

Practical TensorFlow.js: Deep Learning in Web App Development

A

Juan De Dios Santos Rivera

AI and ML
EN
Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch

A

Maxime Labonne

AI and ML
EN
Neural Network Programming with Java

Neural Network Programming with Java

A

Fábio M. Soares, Alan M.F. Souza

AI and ML
EN
Natural Language Processing in Action: Understanding, analyzing, and generating text with Python

Natural Language Processing in Action: Understanding, analyzing, and generating text with Python

A

Hobson Lane, Cole Howard, Hannes Max Hapke

AI and ML
EN
Big Data: Conceptual Analysis and Applications

Big Data: Conceptual Analysis and Applications

A

Michael Z. Zgurovsky, Yuriy P. Zaychenko

AI and ML
RU
Machine Learning with Python. A Collection of Recipes

Machine Learning with Python. A Collection of Recipes

A

Крис Элбон

Algorithms and theory
EN
Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

Deep Learning at Scale: At the Intersection of Hardware, Software, and Data

A

Suneeta Mall

AI and ML
RU
Machine Learning. Deep Dive into the Technology

Machine Learning. Deep Dive into the Technology

B

Артем Демиденко

AI and ML
EN
Machine Learning, Animated

Machine Learning, Animated

A

Mark Liu

AI and ML
EN
Learn Generative AI with PyTorch

Learn Generative AI with PyTorch

A

Mark Liu

AI and ML
EN
Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python

Deep Learning for Finance: Creating Machine and Deep Learning Models for Trading in Python

A

Sofien Kaabar

AI and ML
RU
JavaScript for Deep Learning with TensorFlow.js

JavaScript for Deep Learning with TensorFlow.js

A

Франсуа Шолле, Эрик Нильсон, Стэн Байлесчи, Шэнкуинг Цэй

AI and ML
EN
TensorFlow Developer Certificate Guide: From Fundamentals to Production Deployment

TensorFlow Developer Certificate Guide: From Fundamentals to Production Deployment

B

Не указан в предоставленном тексте

AI and ML
EN
Neural Networks with TensorFlow and Keras: Training, Generative Models, and Reinforcement Learning

Neural Networks with TensorFlow and Keras: Training, Generative Models, and Reinforcement Learning

A

Philip Hua

AI and ML
EN
Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide

Deep Learning with PyTorch Step-by-Step: A Beginner’s Guide

A

Daniel Voigt Godoy

AI and ML
RU
Deep Learning with R

Deep Learning with R

A

Франсуа Шолле

AI and ML
EN
Edge Intelligence: Deep learning-enabled edge computing

Edge Intelligence: Deep learning-enabled edge computing

A

Shajulin Benedict

AI and ML
EN
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
RU
Data Science. Data Science from Scratch

Data Science. Data Science from Scratch

A

Джоэл Грае (Joel Grus)

AI and ML
EN
Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

A

Vitor Cerqueira, Luís Roque

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
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
Computer Vision: Object Detection in Adversarial Vision

Computer Vision: Object Detection in Adversarial Vision

A

Mrinal Kanti Bhowmik

AI and ML
EN
Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications

Hands-on Deep Learning: A Guide to Deep Learning with Projects and Applications

A

Harsh Bhasin

AI and ML
EN
Handbook of Evolutionary Machine Learning

Handbook of Evolutionary Machine Learning

A

Wolfgang Banzhaf, Penousal Machado, Mengjie Zhang (Editors)

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
Applied Recommender Systems with Python: Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques

Applied Recommender Systems with Python: Build Recommender Systems with Deep Learning, NLP and Graph-Based Techniques

A

Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, V Adithya Krishnan

Algorithms and theory
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
Hands-On Large Language Models: Language Understanding and Generation

Hands-On Large Language Models: Language Understanding and Generation

A

Jay Alammar, Maarten Grootendorst

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
Generative Artificial Intelligence: Exploring the Power and Potential of Generative AI

Generative Artificial Intelligence: Exploring the Power and Potential of Generative AI

A

Shivam R Solanki, Drupad K Khublani

AI and ML
EN
Machine Learning Algorithms in Depth

Machine Learning Algorithms in Depth

A

Vadim Smolyakov

Algorithms and theory
EN
Dive into Deep Learning

Dive into Deep Learning

A

Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola

AI and ML
RU
Deep Learning: Easy Project Development with Python

Deep Learning: Easy Project Development with Python

A

Сет Вейдман

AI and ML
RU
Artificial Intelligence in Strategy Games. Part I: Computer Chess

Artificial Intelligence in Strategy Games. Part I: Computer Chess

A

Илья Шпигорь

AI and ML
EN
Deep Learning with Python. Third Edition

Deep Learning with Python. Third Edition

A

Франсуа Шолле, Мэттью Уотсон

AI and ML
RU
Machine Learning Pipeline Development. Automating Model Lifecycles with TensorFlow

Machine Learning Pipeline Development. Automating Model Lifecycles with TensorFlow

A

Хапке Х., Нельсон К.

AI and ML
RU
Deep Reinforcement Learning with Python. OpenAI Gym and TensorFlow for Professionals

Deep Reinforcement Learning with Python. OpenAI Gym and TensorFlow for Professionals

B

Судхарсан Равичандиран

AI and ML
RU
GPU Programming with Python and CUDA

GPU Programming with Python and CUDA

A

Тоуманен Б.

OS and System
RU
Deep Learning with Python

Deep Learning with Python

A

Шолле Франсуа

AI and ML
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