Free Cybernetics: Artificial Intelligence Books

How AI Works: From Sorcery to Science

Learning with the Minimum Description Length Principle

The Little Book of Deep Learning

Грокаем глубокое обучение с подкреплением

Грокаем глубокое обучение с подкреплением

Building Smart Home Automation Solutions with Home Assistant

The Science of Soft Robots : Design, Materials and Information Processing

Изучаем Ray

Strategy Guide for Automation: Scale your business with IT automation

The Coming Wave : Technology, Power, and the Twenty-first Century's Greatest Dilemma

Building Smart Home Automation Solutions with Home Assistant: Configure, integrate, and manage hardware and software systems

Natural Language Processing (NLP)

Artificial Intelligence, Management and Trust

Advances in Robust Control and Applications

Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction

From Industry 4.0 to Industry 5.0

Artificial Intelligence and Machine Learning Techniques for Civil Engineering

Cyber-Physical Systems Engineering and Control

Inductive Biases in Machine Learning for Robotics and Control

Responsible AI in the Enterprise: Practical AI Risk Management for Explainable, Auditable, and Safe Models with Hyperscalers

Probabilistic Machine Learning: An Introduction

Probabilistic Machine Learning: Advanced Topics

AI Startup Strategy: A Blueprint to Building Successful Artificial Intelligence Products from Inception to Exit

Algorithmic Aspects of Machine Learning: Lecture Notes and Slides

Machine Learning: Lecture Notes

Algorithmic Aspects of Machine Learning: Lecture Notes

Rethinking Innateness: A Connectionist Perspective on Development

Elegant Automation: Robotic Analysis Of Chaotic Systems

AI is Good for You: The Last 10 Years and the Next 10 Years of Artificial Intelligence

Learning in the Absence of Training Data

The Self-Assembling Brain: How Neural Networks Grow Smarter

Machine Learning for High-Risk Applications: Approaches to Responsible AI

Generative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play

Machine Learning with Python: Theory and Implementation

Handbook of Human-Machine Systems

Era of Artificial Intelligence: The 21st Century Practitioners' Approach

Natural Language Understanding with Python: Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems

Machine Learning for Indoor Localization and Navigation

Machine Learning Techniques for Time Series Classification

Evolutionary Deep Learning: Genetic algorithms and neural networks

Designing Deep Learning Systems: A software engineer's guide

Deep Learning to See: Towards New Foundations of Computer Vision

What AI Can Do: Strengths and Limitations of Artificial Intelligence

Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications

Applied Intelligence in Human-Computer Interaction

Embedding Knowledge Graphs with RDF2vec

AI for Games

GPT-3: программирование на Python в примерах

Robot Souls: Programming in Humanity

Foundation, Architecture, and Prototyping of Humanized AI: A New Constructivist Approach

Clinical Chinese Named Entity Recognition in Natural Language Processing

Shallow and Deep Learning Principles: Scientific, Philosophical, and Logical Perspectives

Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4

The Political Philosophy of AI: An Introduction

ChatGPT For Dummies

Learning Ray: Flexible Distributed Python for Machine Learning

Blockchain Tethered AI: Trackable, Traceable Artificial Intelligence and Machine Learning

Hypergraph Computation

Artificial Intelligence: A Bridge Between Psychoanalysis and Neurology: The Psi-Organ in a Nutshell

Reinforcement Learning: An Introduction

Reinforcement Learning: An Introduction

Scaling Machine Learning with Spark: Distributed ML with MLlib, TensorFlow, and PyTorch

Natural Language Processing with Transformers

Deep Learning in Time Series Analysis

Введение в автоматизированное машинное обучение (AutoML)

O Panspectron: Como as redes sociais estão moldando a realidade

Artificial Intelligence and Soft Computing

Alchemy and artificial intelligence

Digital Twin Technologies for Healthcare 4.0

Introduction to Transfer Learning: Algorithms and Practice

Deep Cognitive Networks: Enhance Deep Learning by Modeling Human Cognitive Mechanism

Not with a Bug, But with a Sticker : Attacks on Machine Learning Systems and What To Do About Them

Ensemble Methods for Machine Learning

Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What To Do About Them

Evolutionary Multi-Task Optimization: Foundations and Methodologies

Neuroscience for Artificial Intelligence

AI Computing Systems: An Application-Driven Perspective

Convolutional Neural Networks for Medical Applications

Explainable AI for Practitioners: Designing and Implementing Explainable ML Solutions

Adversarial Machine Learning: Attack Surfaces, Defence Mechanisms, Learning Theories in Artificial Intelligence

Introduction to Machine Learning with Python

Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks

Data Mining: Concepts and Techniques

Mensch und Maschine – Herausforderungen durch Künstliche Intelligenz. Stellungnahme

Learning with Fractional Orthogonal Kernel Classifiers in Support Vector Machines: Theory, Algorithms and Applications

Post-Shrinkage Strategies in Statistical and Machine Learning for High Dimensional Data

Embedded Artificial Intelligence: Devices, Embedded Systems, and Industrial Applications

Natural General Intelligence: How Understanding the Brain Can Help Us Build AI

Machine Learning and Mechanics Based Soft Computing Applications

Artificial Intelligence for Cognitive Modeling: Theory and Practice

Грокаем алгоритмы искусcтвенного интеллекта

Mathematical Aspects of Deep Learning

The Little Learner: A Straight Line to Deep Learning

Bayesian Tensor Decomposition for Signal Processing and Machine Learning: Modeling, Tuning-Free Algorithms, and Applications

Big Data: 10th CCF Conference, BigData 2022, Chengdu, China, November 18–20, 2022, Proceedings

Hamiltonian Monte Carlo Methods in Machine Learning

Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems

Artificial Intelligence Applications and Reconfigurable Architectures

Глубокое обучение на Python

A Deeper Learning Companion for CLIL: Putting Pluriliteracies into Practice

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