What is Bayes' Theorem and how is it useful in a machine learning context?
a) Bayes' Theorem is a mathematical formula for determining conditional probabilities. It is useful in machine learning for calculating probabilities of events based on prior knowledge.
b) Bayes' Theorem is a classification algorithm used for predicting outcomes in supervised learning tasks.
c) Bayes' Theorem is used for data preprocessing to normalize features in machine learning models.
d) Bayes' Theorem is a clustering technique used to group similar data points together.
