Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications
25 Mar. 2022
Author: Debabrata Samanta,SK Hafizul Islam,Naveen Chilamkurti,Mohammad Hammoudeh (Editor)
Publisher finelybook 出版社: CRC Press; 1st edition (25 Mar. 2022)
Language 语言: English
Print Length 页数: 246 pages
ISBN-10: 0367715112
ISBN-13: 9780367715113
Book Description
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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Data Analytics, Computational Statistics, and Operations Research for Engineers 9780367715113.rar
