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Clojure for Machine Learning by Akhil Wali

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Chapter 8. Anomaly Detection and Recommendation

In this chapter, we will study a couple of modern forms of applied machine learning. We will first explore the problem of anomaly detection and we will discuss recommendation systems later in this chapter.

Anomaly detection is a machine learning technique in which we determine whether a given set of values for some selected features that represent the system are unexpectedly different from the normally observed values of the given features. There are several applications of anomaly detection, such as detection of structural and operational defects in manufacturing, network intrusion detection systems, system monitoring, and medical diagnosis.

Recommendation systems are essentially information systems ...

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