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Image of Computationally Intensive Statistics for Intelligent IoT

Electronic Resource

Computationally Intensive Statistics for Intelligent IoT

Samanta, Debabrata - Personal Name; Banerjee, Amit - Personal Name;

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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.


Availability
Inventory Code Barcode Call Number Location Status
1908001020EB0001626004.678 Sam cCentral Library (OPAC)Available
Detail Information
Series Title
Studies in Autonomic, Data-driven and Industrial Computing
Call Number
004.678 Sam c
Publisher
Singapore : Springer Singapore., 2021
Collation
XX, 218p.:Ill
Language
English
ISBN/ISSN
978-981-16-5936-2
Classification
004.678
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Machine Learning
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

File Attachment
  • Computationally Intensive Statistics for Intelligent IoT
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