Using on Line Models to Make a Better Prediction

There are three different types of learning, and then you have some emerging trends. These include things like training your model in advance, so doing so called incrementar learning or continuous learning. You put a model in production that hasn't learned anything, or has been warm, started with some data, and it continues to learn and update itself autonomously all the time. Then there are these types of hygrid deployments where you may do one of both. So you may take some data that's sent to you or fetched from somewhere really quickly to make a prediction. But you may tie that together with some other batch prediction that have am andThese can require quite a lot of care, as do