Basics of Anomaly Detection with Multivariate Gaussian Distribution

<p>Our innate ability to recognize patters allows us to use this skill in filling-in gaps or predicting what is going to happen next. Occasionally, however, something happens that does not fit our expectation and does not fall into our perception of a pattern. We call such occurrences anomalies. If we are trying to predict something, we may want to exclude anomalies from our training data. Or perhaps we want to identify anomalies to help make our life better. In either case, anomaly detection techniques can prove to be useful and applicable in most industries and subject areas.</p> <p>This article will guide you through the basics of anomaly detection and implementation of statistical anomaly detection model.</p> <p><a href="https://medium.com/towards-data-science/the-basics-of-anomaly-detection-65aff59949b7"><strong>Read More</strong></a></p>
Tags: Basics