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Applied Learning Algorithms for Intelligent IoT (Hardcover) Loot Price: R3,384
Discovery Miles 33 840
Applied Learning Algorithms for Intelligent IoT (Hardcover): Pethuru Raj Chelliah, Usha Sakthivel, Susila Nagarajan

Applied Learning Algorithms for Intelligent IoT (Hardcover)

Pethuru Raj Chelliah, Usha Sakthivel, Susila Nagarajan

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Loot Price R3,384 Discovery Miles 33 840 | Repayment Terms: R317 pm x 12*

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This book vividly illustrates all the promising and potential machine learning (ML) and deep learning (DL) algorithms through a host of real-world and real-time business use cases. Machines and devices can be empowered to self-learn and exhibit intelligent behavior. Also, Big Data combined with real-time and runtime data can lead to personalized, prognostic, predictive, and prescriptive insights. This book examines the following topics: Cognitive machines and devices Cyber physical systems (CPS) The Internet of Things (IoT) and industrial use cases Industry 4.0 for smarter manufacturing Predictive and prescriptive insights for smarter systems Machine vision and intelligence Natural interfaces K-means clustering algorithm Support vector machine (SVM) algorithm A priori algorithms Linear and logistic regression Applied Learning Algorithms for Intelligent IoT clearly articulates ML and DL algorithms that can be used to unearth predictive and prescriptive insights out of Big Data. Transforming raw data into information and relevant knowledge is gaining prominence with the availability of data processing and mining, analytics algorithms, platforms, frameworks, and other accelerators discussed in the book. Now, with the emergence of machine learning algorithms, the field of data analytics is bound to reach new heights. This book will serve as a comprehensive guide for AI researchers, faculty members, and IT professionals. Every chapter will discuss one ML algorithm, its origin, challenges, and benefits, as well as a sample industry use case for explaining the algorithm in detail. The book's detailed and deeper dive into ML and DL algorithms using a practical use case can foster innovative research.

General

Imprint: Crc Press
Country of origin: United Kingdom
Release date: October 2021
First published: 2022
Editors: Pethuru Raj Chelliah • Usha Sakthivel • Susila Nagarajan
Dimensions: 234 x 156 x 28mm (L x W x T)
Format: Hardcover
Pages: 356
ISBN-13: 978-0-367-63594-7
Categories: Books > Computing & IT > Computer communications & networking > General
Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > WAP (wireless) technology
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 0-367-63594-1
Barcode: 9780367635947

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