Machine Learning in Signal Processing

<p><strong><em>Machine Learning in Signal Processin Applications, Challenges, and the Road Ahead</em></strong> offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). </p><p></p><p>ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML.</p><p></p><p>The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. </p><p></p><b><p>FEATURES</p><ul></ul></b><p><li>Focuses on addressing the missing connection between signal processing and ML </li><p></p><p><li>Provides a one-stop guide reference for readers</li><p></p><p><li>Oriented toward material and flow with regards to general introduction and technical aspects </li><p></p><p><li><UL>Comprehensively elaborates on the material with examples and diagrams </UL></li><p></p><p></p><p>This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.</p></p></p></p></p>