My Wish Lists Login / Join

Applied Learning Algorithms for Intelligent IoT

By: Pethuru Raj Chelliah (Editor), Usha Sakthivel (Editor), Susila Nagarajan (Editor)

Write A Review

Hardcover | 29 October 2021 | Edition Number 1

At a Glance

Hardcover
370 Pages

Dimensions(cm)
23.39 x 15.6 x 2.24

Hardcover

$436.75

or 4 interest-free payments of $109.19 with

Ships in 10 to 15 business days

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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.