Materials Data Science
Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering
Stefan Sandfeld
Materials Data Science
Introduction to Data Mining, Machine Learning, and Data-Driven Predictions for Materials Science and Engineering
Stefan Sandfeld
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Omschrijving
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.
Prof. Dr. Stefan Sandfeld is Director of the Institute for Advanced Simulation: Materials Data Science and Informatics (IAS-9) Forschungszentrum Juelich, Germany; and Professor/Chair of Materials Data Science and Materials Informatics, RWTH Aachen University.