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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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2024, 2024
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| Edition: | 1st ed. 2024 |
| Series: | The Materials Research Society Series
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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