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In the previous post we gave you a brief introduction to anomaly detection. We reviewed there some potential real-life applications and outlined common Machine Learning techniques that are being used for this task. In this post we cover a specific type of data regarding anomaly detection, which is time series.
The article opens a series of posts about anomaly detection. This time we explain what anomaly detection is, give you some interesting examples, and describe how to choose machine learning techniques for detecting anomalies according to the case.
