Lecture 2: Independence and Conditioning // TRAIN BRAIN

Lecture 2: Independence and Conditioning

MIT 18.200 Principles of Discrete Applied Mathematics, Spring 2024
Instructor: Ankur Moitra
View the complete course: https://ocw.mit.edu/courses/18-200-principles-of-discrete-applied-mathematics-spring-2024
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We explain what it means for two events to be independent, and what it means to condition one event on another. We cover the law of Total Probability and Bayes’ rule. We then define random variables and expectations, and explain linearity of expectation.
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