Neuware - Describes the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications.

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Bibliographic Details

Title: Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Publisher: Oxford University Press Mai 2024
Publication Date: 2024
Language: English
ISBN 10: 0198896557
ISBN 13: 9780198896555
Binding: Taschenbuch
Condition: Neu

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This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Taking a gradual approach, it builds up concepts in a solid, step-by-step fashion so that the ideas and algorithms can be implemented in practical software applications.

Digital signal processing (DSP) is one of the 'foundational' engineering topics...

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