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Data Mining Lecture 20 - Outliers

UofU Data Science via YouTube

Overview

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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

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