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Signal Processing and Machine Learning with Applications (Hardcover, 1st ed. 2022) Loot Price: R1,531
Discovery Miles 15 310
Signal Processing and Machine Learning with Applications (Hardcover, 1st ed. 2022): Michael M. Richter, Sheuli Paul, Veton...

Signal Processing and Machine Learning with Applications (Hardcover, 1st ed. 2022)

Michael M. Richter, Sheuli Paul, Veton Kepuska, Marius Silaghi

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Loot Price R1,531 Discovery Miles 15 310 | Repayment Terms: R143 pm x 12*

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Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal processing languages we use to interpret real-world phenomena, model them, and extract useful information. This book presents different kinds of signals humans use and applies them for human machine interaction to communicate. Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with their applications. It is organized in three parts: Realms of Signal Processing; Machine Learning and Recognition; and Advanced Applications and Artificial Intelligence. The comprehensive coverage is accompanied by numerous examples, questions with solutions, with historical notes. The book is intended for advanced undergraduate and postgraduate students, researchers and practitioners who are engaged with signal processing, machine learning and the applications.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: October 2022
First published: 2017
Authors: Michael M. Richter • Sheuli Paul • Veton Kepuska • Marius Silaghi
Dimensions: 235 x 155 x 45mm (L x W x T)
Format: Hardcover
Pages: 607
Edition: 1st ed. 2022
ISBN-13: 978-3-319-45371-2
Categories: Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 3-319-45371-8
Barcode: 9783319453712

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