Machine learning books

This open access book constitutes revised selected papers from the International Workshops held at the 4th International...  Read More >>

This book is based on the 18 tutorials presented during the 29th workshop on Advances in Analog Circuit Design....  Read More >>

Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing...  Read More >>

This book constitutes the proceedings of the 25th RoboCup International Symposium which was held online during July...  Read More >>

This book focuses on research and development aspects of building data analytics workflows that address various...  Read More >>

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Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide. About...  Read More >>

Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java About This...  Read More >>

Deep Learning is the next big thing. It is a part of machine learning. Its favorable results in application with...  Read More >>

This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking...  Read More >>

Simplify machine learning model implementations with Spark About This Book • Solve the day-to-day problems of...  Read More >>

Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R code About This...  Read More >>

Your one-stop guide to becoming a Machine Learning expert. About This Book • Learn to develop efficient and intelligent...  Read More >>

We cover advanced deep learning concepts (such as transfer learning, generative adversarial models, and reinforcement...  Read More >>

Dive deeper into neural networks and get your models trained, optimized with this quick reference guide About This...  Read More >>

This book introduces the core concepts of deep learning. Get implementation and research details on cutting-edge...  Read More >>

Leverage the power of the Reinforcement Learning techniques to develop self-learning systems using Tensorflow About...  Read More >>

This book demonstrates a set of simple to complex problems you may encounter while building machine learning models....  Read More >>

This book helps machine learning professionals in developing AutoML systems that can be utilized to build ML solutions....  Read More >>

In this book, you will learn how to create powerful machine learning based applications for a wide variety of problems...  Read More >>

This book is your guide to quickly get to grips with the most widely used machine learning algorithms. As a data...  Read More >>

A definitive guide to creating an intelligent web application with the best of machine learning and JavaScript About...  Read More >>

Discover the world of ML through the lens and application of Core ML. We will take you through examples; each example...  Read More >>

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the...  Read More >>

Spark ML is the machine learning module of Spark. It uses in-memory RDDs to process machine learning models faster...  Read More >>