Bayes Theorem is given by where 1. P(H) is the probability of hypothesis H being true.2. P(E) is the probability of the evidence(regardless of the hypothesis).3. P(E|H) is the probability of the evidence given that hypothesis is true.4. P(H|E) is the probability of the hypothesis given that the evidence is there.

Machine learning (ML) is a branch of artificial intelligence that leverages data to improve computer performance by giving machines the ability to "learn", or improve performance — based on the data.

There are four basic approaches to machine learning: supervised learning, unsupervised learning, semi-supervised learning and reinforcement learning.