gaussian-process

1 free lesson tagged gaussian-process across AI. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.

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The Gaussian Process Surrogate

Bayesian optimization needs a model that predicts the objective everywhere and knows how unsure it is. The Gaussian process delivers exactly that. This lesson builds the GP as a distribution over functions, shows how a kernel encodes assumptions, and explains why its posterior variance is the engine of the whole method.

9 steps·~14 min

The Gaussian Process Surrogate

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