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Probability - The Science of Uncertainty and Data

Name		Name	Last commit message	Last commit date
Unit 0 - Overview		Unit 0 - Overview
Unit 1 - Probability models and axioms		Unit 1 - Probability models and axioms
Unit 10 - Markov chains		Unit 10 - Markov chains
Unit 2 - Conditioning and independence		Unit 2 - Conditioning and independence
Unit 3 - Counting		Unit 3 - Counting
Unit 4 - Discrete random variables		Unit 4 - Discrete random variables
Unit 5 - Continuous random variables		Unit 5 - Continuous random variables
Unit 6 - Furture topics on r.v.s		Unit 6 - Furture topics on r.v.s
Unit 7 - Bayesian inference		Unit 7 - Bayesian inference
Unit 8 - Limit theorems and classical statistics		Unit 8 - Limit theorems and classical statistics
Unit 9 - Bernoulli and Poisson processes		Unit 9 - Bernoulli and Poisson processes
README.md		README.md
WHAT TO DO AFTER THIS COURSE.pdf		WHAT TO DO AFTER THIS COURSE.pdf
resources_Cheatsheet.pdf		resources_Cheatsheet.pdf
resources_normaltable.pdf		resources_normaltable.pdf

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