Free Cybernetics: Artificial Intelligence Books

A Concise Introduction to Machine Learning

Practical Time Series Analysis: Prediction with Statistics and Machine Learning

人工智能简史

人工智能简史

Python Machine Learning Blueprints: Put your machine learning concepts to the test by developing real-world smart projects

Artificial Neural Networks for Engineering Applications

Artificial Intelligence in the Age of Neural Networks and Brain Computing

Deep Learning

The Prometheus Project, Mankind’s Search for Long-Range Goals

Hands-On Neuroevolution with Python: Build high-performing artificial neural network architectures using neuroevolution-based algorithms

Machine Learning for Business: Using Amazon SageMaker and Jupyter`

Deep Learning Pipeline: Building A Deep Learning Model With TensorFlow

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2

The AI-Powered Workplace: How Artificial Intelligence, Data, And Messaging Platforms Are Defining The Future Of Work

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference

Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python

Inteligenta Artificiala Informatica

Tutorial: Computers for Artificial Intelligence Applications

Information Storage: A Multidisciplinary Perspective

Machine Learning and Big Data with kdb+/q

Знакомство с PyTorch: глубокое обучение при обработке естественного языка

Cyber Crisis Management: Overcoming the Challenges in Cyberspace

Principles Of Internet Of Things (IoT) Ecosystem: Insight Paradigm

Keeping Your AI Under Control: A Pragmatic Guide to Identifying, Evaluating, and Quantifying Risks

Keeping Your AI Under Control: A Pragmatic Guide To Identifying, Evaluating, And Quantifying Risks

Responsible Artificial Intelligence: How To Develop And Use AI In A Responsible Way

Practical Time Series Analysis: Prediction with Statistics and Machine Learning

Hands-On Neural Networks: Learn how to build and train your first neural network model using Python

Reinforcement Learning Algorithms with Python: Learn, understand, and develop smart algorithms for addressing AI challenges

Байесовский анализ на Python

Practical Artificial Intelligence with Swift: From Fundamental Theory to Development of AI-Driven Apps

Machine Learning with Spark and Python: Essential Techniques for Predictive Analytic

Machine Learning with Spark™ and Python®: Essential Techniques for Predictive Analytics

Learning in Energy-Efficient Neuromorphic Computing: Algorithm and Architecture Co-Design

Artificial Intelligence: An Illustrated History: From Medieval Robots to Neural Networks

Hybrid Computational Intelligence: Research and Applications

Big data. Come stanno cambiando il nostro mondo

The CAPTCHA: Perspectives And Challenges Perspectives And Challenges In Artificial Intelligence

What’s New in TensorFlow 2.0: Use the new and improved features of TensorFlow to enhance machine learning and deep learning

Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future

A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are

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

Strengthening Deep Neural Networks: Making AI Less Susceptible to Adversarial Trickery

Building Recommender Systems with Machine Learning and AI: Help People Discover New Products and Content with Deep Learning, Neural Networks, and Machine Learning Recommendations

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

Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems

Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data

Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python

Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python

Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection

Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection

Practical Automated Machine Learning on Azure: Using Azure Machine Learning to Quickly Build AI Solutions

Machine Learning for Data Mining

Deep Learning from Scratch: Building with Python from First Principles

Inteligência artificial aplicada: uma abordagem introdutória

GANs in Action: Deep learning with Generative Adversarial Networks

Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence

Generative Adversarial Networks Cookbook: Over 100 recipes to build generative models using Python, TensorFlow, and Keras

Learning OpenCV 3: Computer Vision in C++ with the OpenCV Library

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

Machine Learning Pocket Reference: Working with Structured Data in Python

Adversarial Machine Learning

Hands-On Q-Learning with Python: Practical Q-learning with OpenAI Gym, Keras, and TensorFlow

Artificial Intelligence By Example: Develop machine intelligence from scratch using real artificial intelligence use cases

Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

Искусственный интеллект

Rebooting AI: Building Artificial Intelligence We Can Trust

Natural Language Processing in Action

Deep Learning for NLP and Speech Recognition

Neural Network Methods for Natural Language Processing

Building Intelligent Cloud Applications: Develop Scalable Models Using Serverless Architectures with Azure

Глубокое обучение с точки зрения практика

IPython Interactive Computing and Visualization Cookbook

Data Science. Инсайдерская информация для новичков. Включая язык R

Data mining. Извлечение информации из Facebook, Twitter, LinkedIn, Instagram, GitHub

Теоретический минимум по Big Data. Всё, что нужно знать о больших данных

信息论、推理与学习算法（Information Theory, Inference and Learning Algorithms）

Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More

Грокаем глубокое обучение

OpenCV 3 Computer Vision with Python Cookbook: Leverage the power of OpenCV 3 and Python to build computer vision applications

Data Science with Python and Dask

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data

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

Talking to Robots: Tales from Our Human–Robot Futures

Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

Intelligent Projects Using Python: 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras

Statistical Methods for Machine Learning

Fundamentals of Neural Networks: Architectures, Algorithms and Applications

Bayesian Analysis in Natural Language Processing

Artificial Intelligence: Modern Magic or Dangerous Future?

How to Be Human in the Digital Economy

Playing Smart: On Games, Intelligence, and Artificial Intelligence

Blind Equalization in Neural Networks: Theory, Algorithms and Applications

Machine Learning for Finance

Cross-Lingual Word Embeddings

The Creativity Code: How AI is Learning to Write, Paint and Think

The Creativity Code: Art and Innovation in the Age of AI

Communications of the ACM

On Machine Intelligence, Second Edition

Deep Learning: Adaptive Computation and Machine Learning

1
2
3
4
...
9
10
11
12
13