University at Buffalo 3 credits Materials Design & Innovation
This course introduces students to statistical ideas that are important in learning about materials and their properties. Topics to be covered include: regression, clustering, classification, and inference; Bayes Theorem; Gaussian Processes and neural networks. Exercises and examples will be drawn from chemical, physics, and materials datasets.
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