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Free Cybernetics: Artificial Intelligence Books
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
The Practice of Crowdsourcing
Neurális hálózatok
Deep Learning for NLP and Speech Recognition
Classification and Regression Trees
Deep Learning for Search
Introduction to Deep Learning
Multi-Objective Optimization Using Evolutionary Algorithms
Tensorflow 2.0 Quick Start Guide
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