4.3 Deriving the likelihood

The likelihood function is central in all of machine learning. We use it for fitting models, and we use it for Bayes's rule. But how do we derive the likelihood, for custom probability models?

Second year Data Science and Machine Learning course, Cambridge University / Computer Science. Taught by Dr Wischik.
https://www.cl.cam.ac.uk/teaching/2122/DataSci/materials.html

Derivinglikelihood