15 lines
424 B
Markdown
15 lines
424 B
Markdown
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Introduction to Posterior Inference
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=======================
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more complex models -> fit data better , but overfit & dont generalize
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-> posterior (distrib) inference
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std NNs do MLE for weights
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"theoretically justifiable" ie correct thing to do -> "posterior inference"
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extremely difficult
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useful for uncertainty! esp interesting in phys setting
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first example here with airfoils, extension from {doc}`supervised-airfoils`
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