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Applied Learning Algorithms for Intelligent IoT

Pethuru Raj Chelliah
4.9/5 (31198 ratings)
Description: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 devicesCyber physical systems (CPS)The Internet of Things (IoT) and industrial use casesIndustry 4.0 for smarter manufacturingPredictive and prescriptive insights for smarter systemsMachine vision and intelligenceNatural interfacesK-means clustering algorithmSupport vector machine (SVM) algorithmA priori algorithmsLinear 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Applied Learning Algorithms for Intelligent IoT. To get started finding Applied Learning Algorithms for Intelligent IoT, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
431
Format
PDF, EPUB & Kindle Edition
Publisher
N/A
Release
N/A
ISBN
100046136X

Applied Learning Algorithms for Intelligent IoT

Pethuru Raj Chelliah
4.4/5 (1290744 ratings)
Description: 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 devicesCyber physical systems (CPS)The Internet of Things (IoT) and industrial use casesIndustry 4.0 for smarter manufacturingPredictive and prescriptive insights for smarter systemsMachine vision and intelligenceNatural interfacesK-means clustering algorithmSupport vector machine (SVM) algorithmA priori algorithmsLinear 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Applied Learning Algorithms for Intelligent IoT. To get started finding Applied Learning Algorithms for Intelligent IoT, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
431
Format
PDF, EPUB & Kindle Edition
Publisher
N/A
Release
N/A
ISBN
100046136X
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