Generalized chi-squared distribution

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Explores generative learning algorithms, decision rules, and Gaussian distribution properties in machine learning.

Gaussian Discriminant Analysis

Covers Gaussian discriminant analysis, log-likelihood, supervised learning, and logistic regression.

Analysis of Variance (ANOVA)

Covers Analysis of Variance (ANOVA) for assessing categorical variable effects on quantitative outcomes.

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Explores nested model selection in linear models, comparing models through sums of squares and ANOVA, with practical examples.

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Explains conditional expectation, conditioning events, probabilities calculation, and examples with dice and random variables.

Naive Bayes: Gaussian Discriminant Analysis

Covers the Naive Bayes algorithm with Gaussian Discriminant Analysis.

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Explores Mendelian genetics, covering chromosomal theory, genetic ratios, Chi-square analysis, and human trait pedigrees.