This is the first book focused entirely on deep learning theory. Tools from theoretical physics are... Læs mere
This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a... Læs mere
This book presents the integration of machine learning and deep learning algorithms that can be applied in the healthcare sector to reduce the time needed by doctors, radiologists, and other medical professionals to analyze, predict, and diagnose conditions with accurate results.
This coherent introduction to machine learning for readers with a background in basic linear algebra, statistics, probability, and... Læs mere
For practitioners and students with basic understanding of machine learning or data science, this book explains how to build models or predictive systems involving user... Læs mere
This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide... Læs mere
Machine Learning in Signal Processing: Applications, Challenges and Road Ahead offers a comprehensive approach towards research orientation for familiarising ‘signal processing (SP)’ concepts to machine learning (ML).
This book illustrates different techniques and structures that are used in knowledge representation and machine learning. The... Læs mere
This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The... Læs mere
This book introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records.
This volume helps to meet the challenge processing of medical images by presenting a thorough overview of medical imaging modalities, its processing,... Læs mere