Mechanistic Data Science for STEM Education and Applications
- Indbinding:
- Paperback
- Sideantal:
- 292
- Udgivet:
- 23. december 2022
- Udgave:
- 22001
- Størrelse:
- 155x16x235 mm.
- Vægt:
- 446 g.
- 8-11 hverdage.
- 27. november 2024
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Mechanistic Data Science for STEM Education and Applications
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 leveltextbook 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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Bogen Mechanistic Data Science for STEM Education and Applications findes i følgende kategorier:
- Business og læring > Computer og IT
- Matematik og naturvidenskab > Matematik > Sandsynlighedsregning og statistik
- Teknologi, ingeniørvidenskab og landbrug > Teknologi: generelle emner > Teknisk design
- Teknologi, ingeniørvidenskab og landbrug > Teknologi: generelle emner > Matematik for ingeniører
- Databehandling og informationsteknologi > Databaser
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens
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