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Data Mining: Anomaly Detection and Statistical Testing - Lecture 3

UofU Data Science via YouTube

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Learn about key anomaly detection concepts in this university lecture covering log-likelihood ratios, scanning techniques for identifying change points, and permutation testing methodologies. Explore statistical approaches for detecting unusual patterns and shifts in data distributions through practical examples and theoretical frameworks. Note: The initial portion of the lecture has limited visual content due to a screen sharing technical issue.

Syllabus

Data Mining Lecture - L3

Taught by

UofU Data Science

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