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Data Analytics, Computational Statistics, and Operations Research for Engineers

Methodologies and Applications

Naveen Chilamkurti editor Debabrata Samanta editor SK Hafizul Islam editor Mohammad Hammoudeh editor

Format:Paperback

Publisher:Taylor & Francis Ltd

Published:4th Oct '24

£45.99

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Data Analytics, Computational Statistics, and Operations Research for Engineers cover

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.

ISBN: 9780367715120

Dimensions: unknown

Weight: 508g

246 pages