Stop Guessing, Start Investing
A short course I developed on Bayesian optimization in materials synthesis — built around a single question: ten experiments, five thousand euros, one unknown function — where do you put your experiments?
The course covers grid search and why it fails, the curse of dimensionality, Gaussian processes and the role of calibrated uncertainty, exploitation vs. exploration, Expected Improvement, and a handful of interactive demos. The recurring metaphor is that every experiment is an investment: a serious scientist does not spread the budget uniformly over a plan made before anything is known, but updates beliefs after each measurement and chooses the next experiment so it earns its keep.
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