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Class Material |
Material |
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- Lectures and Labs (along with readings for these lectures)
- Videos
- Homework
- Topics Index
- Terms Glossary
Lecture 1: Introduction
Lab 1: Bayes Theorem and Python Tech
Lecture 2: Probability, Sampling, and the Laws
Lecture 3: From Monte Carlo to Frequentism
Lab2: Frequentism, Bootstrap, and MLE