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Computationally intensive statistics...

Samanta, Debabrata.

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Computationally intensive statistics for intelligent IoT

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computationally intensive statistics for intelligent IoT/ by Debabrata Samanta, Amit Banerjee.
作者:	Samanta, Debabrata.
其他作者:	Banerjee, Amit.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xx, 218 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Internet of things - Statistical methods. -
電子資源:	https://doi.org/10.1007/978-981-16-5936-2
ISBN:	9789811659362

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

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

3517883
Internet of things
--Statistical methods.

LC Class. No.: TK5105.8857

Dewey Class. No.: 004.678

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