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Computationally Intensive Statistics for Intelligent IoT

2021-10-02 Technology & Engineering
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Release : 2021-10-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 362/5 ( reviews)

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Book Synopsis Computationally Intensive Statistics for Intelligent IoT by : Debabrata Samanta

Download or read book Computationally Intensive Statistics for Intelligent IoT written by Debabrata Samanta. This book was released on 2021-10-02. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computationally Intensive Statistics for Intelligent IoT

2021
Download Computationally Intensive Statistics for Intelligent IoT PDF Online Free

Author :
Release : 2021
Genre :
Kind : eBook
Book Rating : 379/5 ( reviews)

GET EBOOK


Book Synopsis Computationally Intensive Statistics for Intelligent IoT by : Debabrata Samanta

Download or read book Computationally Intensive Statistics for Intelligent IoT written by Debabrata Samanta. This book was released on 2021. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational and Statistical Methods in Intelligent Systems

2018-08-29 Technology & Engineering
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Release : 2018-08-29
Genre : Technology & Engineering
Kind : eBook
Book Rating : 11X/5 ( reviews)

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Book Synopsis Computational and Statistical Methods in Intelligent Systems by : Radek Silhavy

Download or read book Computational and Statistical Methods in Intelligent Systems written by Radek Silhavy. This book was released on 2018-08-29. Available in PDF, EPUB and Kindle. Book excerpt: This book presents real-world problems and pioneering research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of intelligent systems. It gathers the peer-reviewed proceedings of the 2nd Computational Methods in Systems and Software 2018 (CoMeSySo 2018), a conference that broke down traditional barriers by being held online. The goal of the event was to provide an international forum for discussing the latest high-quality research results.

Innovations in Computational Intelligence, Big Data Analytics and Internet of Things

2024-03-01 Computers
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Release : 2024-03-01
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Innovations in Computational Intelligence, Big Data Analytics and Internet of Things by : Sam Goundar

Download or read book Innovations in Computational Intelligence, Big Data Analytics and Internet of Things written by Sam Goundar. This book was released on 2024-03-01. Available in PDF, EPUB and Kindle. Book excerpt: As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business, education etc. by completely redefining the way people, devices, and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots – IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence techniques is today considered as a key success factor to solve the growing scale and complexity of problems in the field of health care systems, agriculture, e-commerce etc. The convergence of Computational intelligence, Big Data and IoT provides new opportunities and revolutionize business in huge way. This book will support industry and governmental agencies to facilitate and make sense of myriad connected devices in coming decade. This book offers the recent advancements in Computational Intelligence, IoT and Big Data Analytics. • Development of models and algorithms for employing IoT based facilities in healthcare, industry, agriculture, e- commerce, manufacturing, business etc. • Methods for collection, management retrieval and processing of Big Data in various domains. • Provides taxonomy of challenges, issues and research directions in applications of computational intelligence techniques in different domains

Data Analytics, Computational Statistics, and Operations Research for Engineers

2022-03-24 Computers
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Release : 2022-03-24
Genre : Computers
Kind : eBook
Book Rating : 427/5 ( reviews)

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Book Synopsis Data Analytics, Computational Statistics, and Operations Research for Engineers by : Debabrata Samanta

Download or read book Data Analytics, Computational Statistics, and Operations Research for Engineers written by Debabrata Samanta. This book was released on 2022-03-24. Available in PDF, EPUB and Kindle. Book excerpt: With the rapidly advancing fields of Data Analytics and Computational Statistics, it’s important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.

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