I'm getting started with Machine Learning with x-pack and it seems like the main capacity of it is to see anomalies, which I'm not in dire need of. I'm not sure if ML can help me with my use case so I'd appreciate if anyone has feedback for me.
I'm trying to correlate some errors based off of their timestamp. So if error 1 happens at 1,3,5 pm and error 99 happens at 1,3,5 pm also, I'd like to correlate the two and say that depending on how many times the two overlap in timestamp will determine how related they are; these two would be considered correlated. Can ML help me with that?