Machine learning espousal in signal processing : applications, challenges and road ahead /
Machine learning espousal in signal processing : applications, challenges and road ahead /
edited by Sudeep Tanwar, Anand Nayyar, Rudra Rameshwar.
- First edition.
- 1 online resource
"Machine Learning in Signal Processing: Applications, Challenges and Road Ahead offers a comprehensive approach towards research orientation for familiarising 'signal processing (SP)' concepts to machine learning (ML). Machine Learning (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 Machine Learning (ML). The focus is on understanding the contributions of signal processing and ML and its aim to solve some of the Artificial Intelligence (AI) and Machine Learning (ML) challenges"--
9781003107026 1003107028 9781000487794 1000487792 9781000487817 1000487814
Machine learning.
Signal processing.
COMPUTERS / Machine Theory
Q325.5
006.3/1
"Machine Learning in Signal Processing: Applications, Challenges and Road Ahead offers a comprehensive approach towards research orientation for familiarising 'signal processing (SP)' concepts to machine learning (ML). Machine Learning (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 Machine Learning (ML). The focus is on understanding the contributions of signal processing and ML and its aim to solve some of the Artificial Intelligence (AI) and Machine Learning (ML) challenges"--
9781003107026 1003107028 9781000487794 1000487792 9781000487817 1000487814
Machine learning.
Signal processing.
COMPUTERS / Machine Theory
Q325.5
006.3/1
