Free Cybernetics: Artificial Intelligence Books

Evolving Role of AI and IoMT in the Healthcare Market

Computational Intelligence for COVID-19 and Future Pandemics: Emerging Applications and Strategies

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Глубокое обучение с подкреплением: теория и практика на языке Python

Artificial Intelligence in Healthcare

Cognitively Inspired Video Text Processing

AI and IoT for Smart City Applications

Artificial Intelligence and Its Contexts: Security, Business and Governance

Innovative Trends in Computational Intelligence

The Hundred-Page Machine Learning Book

Artificial Intelligence in Industrial Applications: Approaches to Solve the Intrinsic Industrial Optimization Problems

IoT and IoE Driven Smart Cities

计算机视觉:计算理论与算法基础

计算机视觉 : 计算理论与算法基础

The 10th International Conference on Autonomous Agents and Multiagent Systems

Manual de computação evolutiva e metaheurística

Readings in Uncertain Reasoning

Knowledge Graphs

Grokking Machine Learning

Анализ поведенческих данных на R и Python

Machine Learning, revised and updated edition (The MIT Press Essential Knowledge series)

Real-World Natural Language Processing: Practical applications with deep learning

Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Прикладное машинное обучение без учителя с использованием Python

Data Science Bookcamp: Five real-world Python projects

Deep Learning with Python

Web Data APIs for Knowledge Graphs: Easing Access to Semantic Data for Application Developers

ALCHEMY AND ARTIFICIAL INTELLIGENCE

Машинное обучение без лишних слов

Машинное обучение без лишних слов

Введение в информационный поиск

Machine Learning Bookcamp: Build a portfolio of real-life projects

Практическая статистика для специалистов Data Science

Практический анализ временных рядов: прогнозирование со статистикой и машинное обучение

Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems

Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT

TensorFlow 2 Pocket Reference: Building and Deploying Machine Learning Models

Practical MLOps: Operationalizing Machine Learning Models

Deep Learning Patterns and Practices

Deep Learning: A Visual Approach

Practical Deep Learning: A Python-Based Introduction

Mathematics for Machine Learning

Getting Started with Google BERT: Build and train state-of-the-art natural language processing models using BERT

Analytical Skills for AI and Data Science: Building Skills for an AI-Driven Enterprise

The Subcritical Brain: A Synergy of Segregated Neural Circuits in Memory, Cognition and Sensorimotor Control

The Subcritical Brain: A Synergy of Segregated Neural Circuits in Memory, Cognition and Sensorimotor Control

Conversational AI: Chatbots that work

Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools

Мультиагентное обучение с подкреплением

AI and Machine Learning for On-Device Development: A Programmer's Guide

Analyzing Narratives in Social Networks: Taking Turing to the Arts

Practical Machine Learning for Computer Vision: End-to-End Machine Learning for Images

State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem

State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem

Machine Learning

Introducing MLOps: How to Scale Machine Learning in the Enterprise

Practical Fairness: Achieving Fair and Secure Data Models

Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results

Graph-Powered Machine Learning

Reinforcement Learning: Industrial Applications of Intelligent Agents

Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python

Blueprints for Text Analytics Using Python: Machine Learning-Based Solutions for Common Real World (NLP) Applications

Learning TensorFlow.js: Powerful Machine Learning in JavaScript

Designing and Building Enterprise Knowledge Graphs

PyTorch Pocket Reference: Building and Deploying Deep Learning Models

Think Bayes: Bayesian Statistics in Python

Data Pipelines Pocket Reference: Moving and Processing Data for Analytics

Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps

Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand

Data Science from Scratch: First Principles with Python

Feature Engineering and Selection: A Practical Approach for Predictive Models

Глубокое обучение: легкая разработка проектов на Python

Data Science Projects with Python: A case study approach to gaining valuable insights from real data with machine learning

Practical Python and OpenCV: Case Studies

Practical Python and OpenCV: Case Studies

Principles and Labs for Deep Learning

Разработка конвейеров машинного обучения. Автоматизация жизненных циклов модели с помощью TensorFlow

Transfer Learning for Natural Language Processing

AI and Developing Human Intelligence: Future Learning and Educational Innovation

AI in the Wild: Sustainability in the Age of Artificial Intelligence

Artificial Intelligence: A Modern Approach, Global Edition

Strategy, Leadership, and AI in the Cyber Ecosystem: The Role of Digital Societies in Information Governance and Decision Making

JavaScript для глубокого обучения: TensorFlow.js

How to Grow a Robot: Developing Human-Friendly, Social AI

Applications of Artificial Intelligence in Business, Education and Healthcare

Trends in Data Engineering Methods for Intelligent Systems: Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020)

Representation Learning: Propositionalization and Embeddings

Обработка естественного языка. Python и spaCy на практике

Knowing our World: An Artificial Intelligence Perspective

Intelligent Healthcare: Applications of AI in eHealth

Artificial intelligence and its Applications

AI Innovation in Medical Imaging Diagnostics

Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach

An Intuitive Exploration of Artificial Intelligence: Theory and Applications of Deep Learning

Emerging Capabilities and Applications of Artificial Higher Order Neural Networks

Methodologies and Applications of Computational Statistics for Machine Intelligence

Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI

Declarative Logic Programming: Theory, Systems, and Applications

Computing With Logic: Logic Programming With Prolog

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