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- Introduction to Random Variables, focusing on Binomial and Geometric Random Variables.
- (May 20, 2013) Leonard Susskind continues the discussion of reversibility by calculating the small but finite probability that all ...
- MIT 6.1200J Mathematics for Computer Science, Spring 2024 Instructor: Erik Demaine View the complete
- Conditional Distributions in the Discrete Setting. Conditional Expectation and the Law of Iterated Expectations.
- Bayes' Rule. Prosecutor's Fallacy. Intro to Bayesian language. Independence of events.
In-Depth Information on Amat362 Lecture 8
Review of Combinatorics. Stars and Bars. More on Geometric and Binomial Random Variables. The Gambler's Rule of Thumb. (March 4, 2013) Leonard Susskind examines one of the fundamental questions in cosmology: why are there more protons than ... Continuation; Applications to Temperature, Mixing, RC-circuit, Decay, and Growth Models. View the complete Help us caption and translate this video on Amara.org: http://www.amara.org/en/v/mQo/ (February 27, 2012) Leonard Susskind ...
Lecture 8
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