Machine Learning for Materials (MATE70026) provides an introduction to statistical research tools for materials theory and simulation. It is a module designed for senior undergraduate and junior postgraduate students in the Department of Materials at Imperial College London.
You will consider how composition-structure-property information in materials science can be represented in a form suitable for machine learning. You will then build, train, and evaluate your own models using public tools and open datasets.
A hybrid teaching style will be followed with a mixture of lectures and assignments. The course assumes a basic working knowledge of the Python 3 programming language. MSc students are required to complete Introduction to Python before taking this course.
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