Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signa

Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizin

The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market data available

The focus of this book is on providing students with insights into geometry that can help them understand deep learning from a unified perspective. Rather than

This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin