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Machine Learning in Signal Processing
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Machine Learning in Signal Processing : Applications, Challenges, and the Road Ahead

Book Details

Format Paperback / Softback
ISBN-10 0367618923
ISBN-13 9780367618926
Publisher Taylor & Francis Ltd
Imprint Chapman & Hall/CRC
Country of Manufacture GB
Country of Publication GB
Publication Date Oct 4th, 2024
Print length 374 Pages
Weight 453 grams
Ksh 8,650.00 Werezi Extended Catalogue

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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 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.


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