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Learn about outlier detection methods in this 1 hour 22 minute lecture from the UofU Data Science series. Explore techniques for identifying anomalous data points that deviate significantly from the norm, understanding their importance in data analysis, and implementing various algorithms to detect them effectively.
Syllabus
Data Mining Lecture 20 - Outliers
Taught by
UofU Data Science