Positive and negative predictive values

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Explores statistical hypothesis testing, error types, thresholding, and multiple comparisons in GLM.

Covers the basics of linear regression, binary and multi-class classification, and evaluation metrics.

Explores SVM's generalization, lack of confidence in predictions, and risk of false positives, comparing it with GMM and KNN.

Introduces the Relevance Vector Machine as a sparse solution to SVM shortcomings.

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