The neural autoencoder anomaly detection technique presented in this article is just one of many ways to look for data anomalies. The technique assumes you are working with tabular data, such as log ...

In practice, preparing the source data for an autoencoder is the most time-consuming part of the dimensionality reduction process. To normalize numeric variables, I recommend using the ...