I'm very impressed from the new x-pack ML of the elastic stack. It seems their technique learns data patterns over time and can predict anomalies in multiple domains.
Zoomed in:
I was wondering what approach and network topology could be used, in order to create a similar feature. Is it fair to assume that since x-pack works on time series data, RNN would be a good start?
Interested in your opinions and references.