£111.63

Springer Coherence: In Signal Processing and Machine Learning

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Description

Expand your technical knowledge with Coherence: In Signal Processing and Machine Learning, published by Springer. This academic text provides a deep look into the fundamental concepts required for modern computing and data analysis. Designed for professionals and students in the field of computer science, this book addresses the intersection of signal processing and machine learning. It serves as a valuable resource for those looking to understand the mathematical and practical applications of coherence within these complex disciplines. Whether you are studying advanced AI or working on signal-based technologies, this Springer publication offers a structured approach to learning. It is a necessary addition to any library focused on artificial intelligence, machine learning, and the evolving landscape of digital signal processing.

Key Features

Published by Springer, a leading name in academic and professional scientific literature.

Focuses on the essential relationship between signal processing and machine learning techniques.

Provides specialized knowledge for researchers and students in computer science and AI.

Offers a deep dive into the mathematical principles of coherence within signal data.

Serves as a foundational text for advanced studies in machine learning and digital systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
03 January 2024
Listed Since
07 December 2023

Barcode

No barcode data available

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