Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the mos

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

Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among t

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