Machine learning books

This book discusses the applications, challenges, and future trends of machine learning in medical domain, including...  Read More >>

For practitioners and students with basic understanding of machine learning or data science, this book explains...  Read More >>

This book, now in an extensively revised and updated second edition, provides a comprehensive overview of both machine...  Read More >>

The topics covered in the book are data science and analytics, natural language processing, predictive analytics,...  Read More >>

Technology advances are making tech more . . . human, changing everything you thought you knew about innovation...  Read More >>

Machine learning is a way to infuse intelligence in data analytics. This volume is intended to give a bird's eye...  Read More >>

This book illustrates different techniques and structures that are used in knowledge representation and machine...  Read More >>

Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for...  Read More >>

This book will help you learn how to build and tune state-of-the-art machine learning and deep learning models using...  Read More >>

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture...  Read More >>

 Read More >>

The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security...  Read More >>

To do this effectively, AI agents need to go beyond planning with their own models of the world, and take into account...  Read More >>

 Read More >>

The evolution of deep learning models, combined with with advances in the Internet of Things and sensor technology,...  Read More >>

The Optimum-Path Forest (OPF) classifier was first published in 2008 in its supervised and unsupervised versions...  Read More >>

This book describes a novel machine-learning based approach to answer some traditional archaeological problems,...  Read More >>

This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps...  Read More >>

 Read More >>

The book trains readers to break down various ML applications and methods in terms of data, model, and loss, thus...  Read More >>

This book constitutes the Second Diabetic Foot Ulcers Grand Challenge, DFUC 2021, which was held on September 27,...  Read More >>

Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods,...  Read More >>

Deep Learning in Bioinformatics: Techniques and Applications in Practice introduces the topic in an easy-to-understand...  Read More >>

This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia...  Read More >>

Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine...  Read More >>