Data analytics, computational statistics, and operations research for engineers: methodologies and applications
"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 ca...
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boca Raton
CRC Press, Taylor & Francis Group
2022
|
| Ausgabe: | First edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781000550467/?ar |
| Zusammenfassung: | "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"-- |
| Beschreibung: | Includes bibliographical references and index. - Description based on print version record |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781003152392 1003152392 9781000550429 1000550427 9781000550467 100055046X |
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| language | English |
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| spelling | Data analytics, computational statistics, and operations research for engineers methodologies and applications edited by Debabrata Samanta, SK Hafizul Islam, Naveen Chilamkurti, and Mohammad Hammoudeh First edition. Boca Raton CRC Press, Taylor & Francis Group 2022 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Description based on print version record "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"-- Engineering Data processing Ingénierie ; Informatique Engineering ; Data processing Samanta, Debabrata 1987- HerausgeberIn edt 9780367715113 Erscheint auch als Druck-Ausgabe 9780367715113 |
| spellingShingle | Data analytics, computational statistics, and operations research for engineers methodologies and applications Engineering Data processing Ingénierie ; Informatique Engineering ; Data processing |
| title | Data analytics, computational statistics, and operations research for engineers methodologies and applications |
| title_auth | Data analytics, computational statistics, and operations research for engineers methodologies and applications |
| title_exact_search | Data analytics, computational statistics, and operations research for engineers methodologies and applications |
| title_full | Data analytics, computational statistics, and operations research for engineers methodologies and applications edited by Debabrata Samanta, SK Hafizul Islam, Naveen Chilamkurti, and Mohammad Hammoudeh |
| title_fullStr | Data analytics, computational statistics, and operations research for engineers methodologies and applications edited by Debabrata Samanta, SK Hafizul Islam, Naveen Chilamkurti, and Mohammad Hammoudeh |
| title_full_unstemmed | Data analytics, computational statistics, and operations research for engineers methodologies and applications edited by Debabrata Samanta, SK Hafizul Islam, Naveen Chilamkurti, and Mohammad Hammoudeh |
| title_short | Data analytics, computational statistics, and operations research for engineers |
| title_sort | data analytics computational statistics and operations research for engineers methodologies and applications |
| title_sub | methodologies and applications |
| topic | Engineering Data processing Ingénierie ; Informatique Engineering ; Data processing |
| topic_facet | Engineering Data processing Ingénierie ; Informatique Engineering ; Data processing |
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