Data Science, Probability, Statistics, Basics, Machine Learning.
know about y after observing x likelihood: propensity for observing a certain value of x given a certain value of y prior: what we know about y before observing x evidence: a constant to ensure that the left hand side is a valid distribution (normalization term) It is useful because even if it is