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Conditional Entropy and Data Compression Techniques
Discusses conditional entropy and its role in data compression techniques.
Variance: Definition, Examples, and Theorems
Covers the definition of variance, examples, theorems, and applications in probability theory.
Random Variables: Basics and Examples
Explains random variables, distributions, and Bernoulli trials with coin flip examples.
Protein Residue Coevolution Analysis
Delves into analyzing residue coevolution in protein families to capture native contacts and predict spatial proximity and protein interactions.
Probability: Bernoulli Trials
Explores Bernoulli trials, independent trials, and the binomial distribution.
Advanced Probability: Probability Trees and Conditional Probabilities
Explores probability trees, conditional probabilities, Bernoulli trials, binomial distribution, and Bayes' Theorem.
Advanced Probability: Expected Value
Explores expected value in probability theory, including dice rolls and Bernoulli trials.
Random Walks and Moran Model in Population Genetics
Explores random walks, Moran model, bacterial chemotaxis, entropy, information theory, and coevolving sites in proteins.
Advanced Probabilities: Random Variables & Expected Values
Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.
Variance and Independent Random Variables
Covers variance, independent random variables, and their properties, including examples and proofs.