Store besparelser
Hurtig levering
Fri fragt over 499,-
Gemte
Log ind
0
Kurv
Kurv
What Every Engineer Should Know About Data-Driven Analytics
Engelsk
Bogcover for What Every Engineer Should Know About Data-Driven Analytics af Satish Mahadevan Srinivasan, Phillip A. Laplante, 9781032235400
Specifikationer
Sprog:
Engelsk
Sider:
260
ISBN-13:
9781032235400
Indbinding:
Paperback
ISBN-10:
1032235403
Udg. Dato:
13 apr 2023
Størrelse i cm:
15,5 x 23,4 x 1,9
Oplagsdato:
13 apr 2023

What Every Engineer Should Know About Data-Driven Analytics

Engelsk
Paperback 2023
Format:

Bog beskrivelse

What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the theoretical concepts and approaches of machine learning that are used in predictive data analytics. By introducing the theory and by providing practical applications, this text can be understood by every engineering discipline. It offers a detailed and focused treatment of the important machine learning approaches and concepts that can be exploited to build models to enable decision making in different domains.

  • Utilizes practical examples from different disciplines and sectors within engineering and other related technical areas to demonstrate how to go from data, to insight, and to decision making
  • Introduces various approaches to build models that exploits different algorithms
  • Discusses predictive models that can be built through machine learning and used to mine patterns from large datasets
  • Explores the augmentation of technical and mathematical materials with explanatory worked examples
  • Includes a glossary, self-assessments, and worked-out practice exercises

Written to be accessible to non-experts in the subject, this comprehensive introductory text is suitable for students, professionals, and researchers in engineering and data science.

... Vis mere

Hos Booktok
508 kr
Læg i kurv nu
Sikker betaling
23 - 25 hverdage

Specifikationer
Sprog:
Engelsk
Sider:
260
ISBN-13:
9781032235400
Indbinding:
Paperback
ISBN-10:
1032235403
Udg. Dato:
13 apr 2023
Størrelse i cm:
15,5 x 23,4 x 1,9
Oplagsdato:
13 apr 2023
Finder produkter...
Kategori sammenhænge