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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 2024 edition
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
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.
| Medij | Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami) |
| Izdano | 9. maja 2024 |
| ISBN13 | 9783031465642 |
| Založniki | Springer International Publishing AG |
| Strani | 618 |
| Dimenzije | 243 × 161 × 37 mm · 1,18 kg |
| Jezik | Nemščina |
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