Teaching
Selected courses with open teaching materials. My CV includes further teaching experience.
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Machine Learning for Molecular Design
A crash course on applying machine learning to molecular discovery.
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Data Analysis
Undergraduate course for Economics and Computer Science students.
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Bayesian Methods in Artificial Intelligence
Bayesian inference fundamentals and applications in artificial intelligence.
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Machine Learning: Foundations and Applications
An introduction to machine learning, with slides and hands-on labs.
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Practical Machine Learning with R
Training in machine learning for statistical staff.
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Applications of Stochastic Processes
Undergraduate course for Mathematics and Economics students.