Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on creating an approximation of a dataset that has fewer columns. Imagine that you have a dataset that has many ...
This project is a personal practice attempt at performing anomaly detection on a multivariate time-series dataset. The dataset chosen is the Tennessee Eastman dataset, and anomalies in the data are ...
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