Machine Learning, Data Science, Learning, Resources, University.
learning algorithms. Level of Mastery: Beginner to Intermediate knowledge is desired. Essential Concepts: ❖ Foundations : Counting, Probability Axioms, Events and Sample Spaces. ❖ Conditional Probability : Conditional Probability, Independence, Bayes’ rule. ❖ Random Variables : Discrete/Continuous