Materials Data Science
Materials Data Science
Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering
Hardback
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Sign in or Sign up!- Release Date: 09/05/2024
- Barcode: 9783031465642
- Genre: Computing & Internet
- Imprint: Springer International
- Publisher: Springer
Materials Data Science
2024 ed.
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DESCRIPTION
Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering This text covers all of the data science, machine learning, and deep learning topics relevant to materials science and engineering, accompanied by numerous examples and applications. The section on unsupervised learning emphasizes principal component analysis, and also covers manifold learning (t-SNE and UMAP) and clustering techniques.
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