Machine Learning

This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, ...

A much-needed guide to implementing new technology in workspaces From experts in the field comes Machine Learning Upgrade: A Data Scientist's Guid...

This book is an introduction to machine learning, with a strong focus on the mathematics behind the standard algorithms and techniques in the field...

This book is a practical guide for individuals interested in exploring and implementing smart home applications using Python. Comprising six chapte...

This book discusses the evolving designs and applications of multimedia content delivery and focuses on computing-based methods.  It offers readers...

Volume XI of the Transactions on Rough Sets (TRS) provides evidence of f- ther growth in the rough set landscape, both in terms of its foundations ...

Authored by researchers and practitioners who build cutting-edge federated learning applications to solve real-world problems, this book covers the...

This book is your comprehensive guide to building robust Generative AI solutions using the Databricks Data Intelligence Platform. Databricks is the...

A Wall Street Journal bestsellerA Publisher's Weekly bestsellerA fascinating look at the trailblazing companies using artificial intelligence to cr...

The text begins by highlighting the benefits of the Internet of Things-enabled machine learning in the healthcare sector, examines the diagnosis of...

This book delves into the characterization, impacts, drivers, and predictability of atmospheric rivers (AR). It begins with the historical backgrou...

This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed...

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource  Machine Learning for Time Series Fo...

Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the brain behind the worlds smartest...

DESCRIPTION Being able to make near-real-time decisions is becoming increasingly crucial. To succeed, we need machine learning systems that can tur...

The first International Workshop on Machine Learning in Medical Imaging, MLMI 2010, was held at the China National Convention Center, Beijing, Chin...

Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exp...

This extraordinary three-volume work, written in an engaging and rigorous style by a world authority in the field, provides an accessible, comprehe...

Put the power of AWS Cloud machine learning services to work in your business and commercial applications!  Machine Learning in the AWS Cloud intro...

In an era defined by digital connectivity, securing sensitive information against cyber threats is a pressing concern. As digital transmission syst...

This book is a collection of selected research papers presented at the Mathematics, Statistics and Computing Technology (ICMSCT2023), held at the U...

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners t...

Discover this multi-disciplinary and insightful work, which integrates machine learning, edge computing, and big data. Presents the basics of train...

MATHEMATICS FOR INFORMATION TECHNOLOGY 1E delivers easy-to-understand and balanced mathematical instruction. Each chapter begins with an applicatio...

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This m...

This is the first rigorous, self-contained treatment of the theory of deep learning. Starting with the foundations of the theory and building it up...

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and influence. 'Data science' and 'machine lea...

Accurate, robust and fast image reconstruction is a critical task in many scientific, industrial and medical applications. Over the last decade, im...

This book gathers the proceedings of the 11th International Conference on E-Health and Bioengineering, EHB 2023, held in hybrid form on November 91...

This monograph explores a set of statistical and machine learning tools that can be effectively utilized for applied data analysis in the context o...