Graduate Numerical Analysis Seminar, Khalil Hall-Hooper, Anomaly Detection with Isolation Forests: Using tree-based methods in machine learning to find outliers in data
ZoomDetermining anomalies in data using classical machine learning techniques typically requires characterizing the notion of what is "normal" or "expected" in the instance space. Upon doing so, one would then utilize this profile to identify points that do not coincide with this description of normal. However, this process tends to be costly computationally, thus limiting…