Signal Processing And Machine Learning Theory PDF
It is an amazing Technology & Engineering book written by Sudeep Tanwar and published by CRC Press. This book was released on 10 December 2021 with total pages 488. Read book in PDF, EPUB and Kindle directly from your devices anywhere anytime. Click Download button to get Machine Learning in Signal Processing book now. This site is like a library, Use search box to get ebook that you want.
- Author : Sudeep Tanwar
- Release Date : 10 December 2021
- Publisher : CRC Press
- Genre : Technology & Engineering
- Pages : 488
- ISBN 13 : 9781000487817
- Total Download : 467
- File Size : 41,9 Mb
Machine Learning in Signal Processing PDF Summary
Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). 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. 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. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams 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.
