Understanding the underlying probability distributions is key to mastering Machine Learning.

Key Concepts

1. Bayes’ Theorem: Updating beliefs with evidence.
2. Maximum Likelihood: Finding parameters that maximize data probability.

“Probability is the logic of science.”