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Optimal Decision Making in Operations Research and Statistics : Methodologies and Applications
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CRC Press
Data Analytics, Computational Statistics, and Operations Research for Engineers : Methodologies and Applications
Product Code:
9780367715120
ISBN13:
9780367715120
Condition:
New
$67.93
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--
| Author: Debabrata Samanta, Sk Hafizul Islam, Naveen Chilamkurti |
| Publisher: CRC Press |
| Publication Date: Oct 04, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 0367715120 |
| ISBN-13: 9780367715120 |
Data Analytics, Computational Statistics, and Operations Research for Engineers : Methodologies and Applications
$67.93
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--
| Author: Debabrata Samanta, Sk Hafizul Islam, Naveen Chilamkurti |
| Publisher: CRC Press |
| Publication Date: Oct 04, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 0367715120 |
| ISBN-13: 9780367715120 |
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