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Materials Data Science Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering /

This text covers all of the artificial intelligence, deep learning, and data science topics relevant to materials science and engineering, accompanied by numerous examples and applications. The book begins with a concise introduction to statistics and probabilities, explaining important concepts and...

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Autore principale: Sandfeld, Stefan (Autore)
Ente Autore: SpringerLink (Online service)
Natura: Elettronico eBook
Lingua:inglese
Pubblicazione: Cham : Springer International Publishing : Imprint: Springer, 2024.
Edizione:1st ed. 2024.
Serie:The Materials Research Society Series,
Soggetti:
Materials > Analysis.
Data mining.
Artificial intelligence.
Data structures (Computer science).
Information theory.
Materials Characterization Technique.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Data Structures and Information Theory.
Accesso online:https://doi.org/10.1007/978-3-031-46565-9
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Sommario:
  • Introduction to Data, Data Mining, and Prediction in Materials Science
  • A Primer on Probabilities, Distributions and Statistics
  • Introduction to Statistical Machine Learning
  • Artificial Neural Networks and Deep Learning
  • Advanced Topics of Machine Learning and Data Mining in Materials Science and Engineering
  • Conclusion Outlook
  • Appendix.

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