Hello Community,
I did not find much information on the documentation about machine learning algorithms and models used in Microsoft Defender ATP. Therefore, I would like to ask the following questions:
- Which is the data that gets ingested to train the models?
- Which is the frequency of the periodic re-training of the models with current data?
- How long the previously used data to train the models impacts on the decision?
Thank you in advance.