Anomaly detection is perhaps one of the hottest sub-topics in Analytics and Data Science. There are many ways to begin with these fields of study, and one of the first steps that both disciplines have in common is to know your data, and we can’t stress it enough. Nowadays we hear about anomaly detection in Machine Learning, Deep Learning, monitoring systems, and all kinds of data analysis, and while we usually tend to relate this topic to Machine Learning and advanced applications, we have several ways to tackle into this topic.
