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  1. Bog
  2. Matematik
  3. Sandsynlighedsregning og statistik
Mechanistic Data Science for STEM Education and Applications
Af: Zhengtao Gan, Wing Kam Liu, Mark Fleming
Engelsk
Bogcover for Mechanistic Data Science for STEM Education and Applications af Zhengtao Gan, Wing Kam Liu, Mark Fleming, 9783030878344
Specifikationer
Sprog:
Engelsk
Sider:
276
ISBN-13:
9783030878344
Indbinding:
Paperback
ISBN-10:
3030878341
Kategori:
Udg. Dato:
23 dec 2022
Størrelse i cm:
23,5 x 15,5
Forlag:
Oplagsdato:
23 dec 2022
Forfatter(e):
Genre:

Mechanistic Data Science for STEM Education and Applications

Af: Zhengtao Gan, Wing Kam Liu, Mark Fleming
Engelsk
Paperback 2022
Format:
Paperback
Bog beskrivelse

This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e., "mechanistic" principles) to solve intractable problems.  Traditional data science methodologies require copious quantities of data to show a reliable pattern, but the amount of required data can be greatly reduced by considering the mathematical science principles. MDS is presented here in six easy-to-follow modules: 1) Multimodal data generation and collection, 2) extraction of mechanistic features, 3) knowledge-driven dimension reduction, 4) reduced order surrogate models, 5) deep learning for regression and classification, and 6) system and design. These data science and mechanistic analysis steps are presented in an intuitive manner that emphasizes practical concepts for solving engineering problems as well as real-life problems. This book is written in a spectral style and is ideal as an entry level textbook for engineering and data science undergraduate and graduate students, practicing scientists and engineers, as well as STEM (Science, Technology, Engineering, Mathematics) high school students and teachers.

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Specifikationer
Sprog:
Engelsk
Sider:
276
ISBN-13:
9783030878344
Indbinding:
Paperback
ISBN-10:
3030878341
Kategori:
Udg. Dato:
23 dec 2022
Størrelse i cm:
23,5 x 15,5
Forlag:
Oplagsdato:
23 dec 2022
Forfatter(e):
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