Materials Data Science: Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering - The Materials Research Society Series - Stefan Sandfeld - Books - Springer International Publishing AG - 9783031465642 - May 9, 2024
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Stefan Sandfeld
Materials Data Science: Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering - The Materials Research Society Series 2024 edition

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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.

400 pages, 200 Tables, color; 200 Illustrations, color; V, 400 p. 200 illus. in color.

Media Books     Hardcover Book   (Book with hard spine and cover)
Released May 9, 2024
ISBN13 9783031465642
Publishers Springer International Publishing AG
Pages 618
Dimensions 243 × 161 × 37 mm   ·   1.18 kg
Language German  

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