Applied Learning Algorithms for Intelligent IoT
by Pethuru Raj Chelliah, Usha Sakthivel, Susila NagarajanEstimated delivery 3-12 business days
Format Paperback
Condition Brand New
Description Connectivity through the Internet of Things (IoT) processes and platforms combined with AI create the foundation of developing smart systems exhibiting intelligent behavior. The book illustrates promising and potential machine learning (ML) and deep learning (DL) algorithms through real-world and real-time business use cases.
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 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.
- ISBN 1032113219
- ISBN-13 9781032113210
- Title Applied Learning Algorithms for Intelligent IoT
- Author Pethuru Raj Chelliah, Usha Sakthivel, Susila Nagarajan
- Format Paperback
- Year 2024
- Pages 356
- Publisher Taylor & Francis Ltd
Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love!
Shipping is FREE to any address in USA.
Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated.
International deliveries will take 1-6 weeks.
NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations.
If you wish to return an item, please consult our Returns Policy as below:
Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted.
Returns must be postmarked within 4 business days of authorisation and must be in resellable condition.
Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit.
For purchases where a shipping charge was paid, there will be no refund of the original shipping charge.
If you have any questions please feel free to Contact Us.
