Free Cybernetics: Artificial Intelligence Books

Python и машинное обучение: машинное и глубокое обучение с использованием Python, scikit-learn и TensorFlow 2

Pragmatic AI: An Introduction to Cloud-Based Machine Learning

Machine Learning Engineering

Requirements-Oriented Methodology for Evaluating Ontologies

AI Ethics

The Knowledge Graph Cookbook

Архитекторы интеллекта: вся правда об искусственном интеллекте от его создателей

Архитекторы интеллекта: вся правда об искусственном интеллекте от его создателей

Probabilistic Deep Learning with Python

Grokking Deep Reinforcement Learning

Deep Learning for Vision Systems

Artificial Intelligence in Finance: A Python-Based Guide

Kubeflow for Machine Learning: From Lab to Production

AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence

Генеративное глубокое обучение. Творческий потенциал нейронных сетей

Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python

Глубокое обучение в биологии и медицине

Learn Amazon SageMaker: A guide to building, training, and deploying machine learning models for developers and data scientists

Глубокое обучение и игра в го

Machine Learning Methods for Stylometry: Authorship Attribution and Author Profiling

Practical Synthetic Data Generation: Balancing Privacy and the Broad Availability of Data

Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow

Building Machine Learning Powered Applications: Going from Idea to Product

Machine Learning Pocket Reference: Working with Structured Data in Python

AI as a Service

Programming Machine Learning: From Coding to Deep Learning

Introduction to Logic Programming

Deep Learning Approaches to Text Production

Вероятностные графовые модели. Принципы и приложения

Natural Language Processing with Spark NLP: Learning to Understand Text at Scale

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

Data Science. Наука о данных с нуля

PyTorch 1.x Reinforcement Learning Cookbook: Over 60 recipes to design, develop, and deploy self-learning AI models using Python

Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas

Grokking Artificial Intelligence Algorithms

Artificial Intelligence: A Modern Approach

Обработка естественного языка в действии

Генетические алгоритмы на Python

Машинное обучение: карманный справочник. Краткое руководство по методам структурированного машинного обучения на Python

GANs in Action: Deep learning with Generative Adversarial Networks

Deep Learning with PyTorch

Introduction to Artificial Intelligence (Undergraduate Topics in Computer Science)

Neural Networks and Deep Learning: A Textbook

Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence

Data Science and Machine Learning: Mathematical and Statistical Methods

AI and the Future of Banking

Cognitive Code: Post-Anthropocentric Intelligence and the Infrastructural Brain

Hands-On Machine Learning with R

Zero to Deep Learning with Keras and Tensorflow

The Art of Feature Engineering: Essentials for Machine Learning

A Primer on Machine Learning Applications in Civil Engineering

Document Processing Using Machine Learning

Augmented Intelligence: The Business Power of Human-Machine Collaboration

Learning to Rank for Information Retrieval and Natural Language Processing

Эволюционные нейросети на языке Python

Machine Learning With Python For Everyone

Re-Engineering Humanity

Глубокое обучение без математики. Практика

Глубокое обучение без математики. Основы

Machine Learning and Its Applications

Machine Learning and Its Applications

Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x and TensorFlow 2

Artificial Intelligence with Python: Your complete guide to building intelligent apps using Python 3.x and TensorFlow 2

Artificial Intelligence in a Throughput Model: Some Major Algorithms

Artificial Intelligence in a Throughput Model: Some Major Algorithms

Cunning Machines: Your Pocket Guide to the World of Artificial Intelligence

Cunning Machines: Your Pocket Guide to the World of Artificial Intelligence

Unsupervised Learning in Space and Time: A Modern Approach for Computer Vision using Graph-based Techniques and Deep Neural Networks

Machine Learning with the Elastic Stack

Modelowanie i eksploracja sieci neuronów biologicznych w GENESIS

Deep Learning in Mining of Visual Content

Reprogramming the American Dream: From Rural America to Silicon Valley—Making AI Serve Us All

Natural Language Processing with Python and spaCy: A Practical Introduction

Machine Learning with the Raspberry Pi: Experiments with Data and Computer Vision

TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications

PyTorch Computer Vision Cookbook: Over 70 recipes to solve computer vision and image processing problems using PyTorch 1.x

OpenCV 4 with Python Blueprints: Become proficient in computer vision by designing advanced projects using OpenCV 4 with Python 3.8

Succeeding with AI

Deep Reinforcement Learning in Action

Inteligência artificial

Inteligência artificial

Build a Career in Data Science

Машинное обучение с использованием Python. Сборник рецептов

Machine Learning for iOS Developers

Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning

Artificial Intelligence By Example: Acquire Advanced AI, Machine Learning and Deep Learning design skills

Artificial Intelligence By Example: Acquire Advanced AI, Machine Learning and Deep Learning design skills

TensorFlow для глубокого обучения

Deep Learning with TensorFlow 2.0 and Keras: Regression, ConvNets, GANs, RNNs, NLP & more with TF 2.0 and the Keras API

Machine Learning: Hands-On for Developers and Technical Professionals

Deep Learning with JavaScript: Neural networks in TensorFlow.js

Mastering Large Datasets with Python: Parallelize and Distribute Your Python Code

Demystifying Owl for the Enterprise

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

Artificial Intelligence for Humans - Nature Inspired Algorithms

Artificial Intelligence for Humans - Deep Learning and Neural Networks

Artificial Intelligence: Foundations of Computational Agents

Introduction to Artificial Intelligence for Security Professionals

1
2
3
4
...
8
9
10
11
12