- Type Validation
- Level Advanced
- Time Weeks
Statistical and Machine Learning Methods for Analyzing Clusters and Detecting Anomalies (613)(v.1)
Issued by
Statistics.com
The course objective is to teach how to use machine learning and statistical methods to identify clusters in multivariate data, i.e., groups of cases that have relatively high within-group similarity. Using those same methods, and additional ones, students will also learn how to identify cases that are relatively unique - anomalies (also called outliers).
- Type Validation
- Level Advanced
- Time Weeks
Earning Criteria
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The methods of assessment include quizzes, with a minimum passing score of 80%.
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Instructional strategies include: discussion, computer-based training, practical exercises.