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F# for Machine Learning Essentials by Sudipta Mukherjee

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Chapter 7. Anomaly Detection

"Find the odd one out automatically."

Anomaly Detection is the art of finding the odd one out in a bunch of data automatically. As the name suggests, it is the science of finding the data that is anomalous compared to the other. However, there are several kinds of anomalies; sometimes the normal (non-anomalous) data can be line anomalous data. Anomaly detection is mostly an unsupervised learning problem because it is very difficult, if not impossible, to get a labeled training dataset that is anomalous. Sometimes, anomalies are referred to as "outliers."

Objective

After reading this chapter, you will be able to apply some of the techniques to identify any anomaly in data, and you will have a general understanding of how ...

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