Machine Learning in Signal Processing

<p><strong><em>Machine Learning in Signal Processing: 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>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>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>FEATURES</p><ul> <p> </p> <li>Focuses on addressing the missing connection between signal processing and ML </li> <p> </p> <li>Provides a one-stop guide reference for readers</li> <p> </p> <li>Oriented toward material and flow with regards to general introduction and technical aspects </li> <p> </p> <li>Comprehensively elaborates on the material with examples and diagrams </li> </ul><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>