Anomaly detection in machine learning: Finding outliers for optimization of business functions
5 min read – As organizations collect larger data sets with potential insights into business activity, detecting anomalous data, or outliers in these data sets, is essential in discovering inefficiencies, rare events, the root cause of issues, or opportunities for operational improvements. But what is an anomaly and why is detecting it important? Types of anomalies vary by enterprise and business function. Anomaly detection simply means defining “normal” patterns and metrics—based on business functions and goals—and identifying data points that fall outside of an…
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- Source: https://www.ibm.com/blog/how-to-optimize-application-performance-with-ns1-traffic-steering/
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