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Computationally intensive statistics...

Banerjee, Amit.

Computationally intensive statistics for intelligent IoT

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computationally intensive statistics for intelligent IoTby Debabrata Samanta, Amit Banerjee.
Author:	Samanta, Debabrata.
other author:	Banerjee, Amit.
Published:	Singapore :Springer Singapore :2021.
Description:	xx, 218 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Internet of thingsStatistical methods.
Online resource:	https://doi.org/10.1007/978-981-16-5936-2
ISBN:	9789811659362$q(electronic bk.)

Computationally intensive statistics for intelligent IoT
Samanta, Debabrata.

Computationally intensive statistics for intelligent IoT[electronic resource] /by Debabrata Samanta, Amit Banerjee. - Singapore :Springer Singapore :2021. - xx, 218 p. :ill., digital ;24 cm. - Studies in autonomic, data-driven and industrial computing,2730-6445. - Studies in autonomic, data-driven and industrial computing..

Introduction to Intelligent IoT -- ML and Information Advancement platform in Intelligent IoT -- Machine Intelligence and Data Science for Intelligent IoT -- Approaches of Data Analytics in Intelligent Medicare utilizing IoT -- Trends and Applications of Intelligent IoT in Agriculture -- Transformation of Intelligent IoT in the Energy Sector -- Abnormality Diagnosis from Ambient Data: Intelligent IoT Data Sequences in Real Time -- Future of Intelligent IoT.

The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design of experiments, Bayesian analysis, survival analysis and data mining in computational statistics.

ISBN: 9789811659362$q(electronic bk.)

Standard No.: 10.1007/978-981-16-5936-2doiSubjects--Topical Terms:

906906
Internet of things
--Statistical methods.

LC Class. No.: TK5105.8857

Dewey Class. No.: 004.678

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245 1 0 $a Computationally intensive statistics for intelligent IoT $h [electronic resource] / $c by Debabrata Samanta, Amit Banerjee.
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505 0 $a Introduction to Intelligent IoT -- ML and Information Advancement platform in Intelligent IoT -- Machine Intelligence and Data Science for Intelligent IoT -- Approaches of Data Analytics in Intelligent Medicare utilizing IoT -- Trends and Applications of Intelligent IoT in Agriculture -- Transformation of Intelligent IoT in the Energy Sector -- Abnormality Diagnosis from Ambient Data: Intelligent IoT Data Sequences in Real Time -- Future of Intelligent IoT.
520 $a The book covers computational statistics, its methodologies and applications for IoT device. It includes the details in the areas of computational arithmetic and its influence on computational statistics, numerical algorithms in statistical application software, basics of computer systems, statistical techniques, linear algebra and its role in optimization techniques, evolution of optimization techniques, optimal utilization of computer resources, and statistical graphics role in data analysis. It also explores computational inferencing and computer model's role in design of experiments, Bayesian analysis, survival analysis and data mining in computational statistics.
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