I would like a quick description of the basic creation of a statistical learning model. This should be simple enough that the average person could understand it. The description should be a paragraph of 5 sentences.
I would like a quick description of the basic creation of a statistical learning model. This should be simple enough that the average person could understand it. The description should be a paragraph of 5 sentences.
user
When we look to create a model, we are attempting to predict a single feature from all the other features of something. This starts by looking at a set of instances that all have data points for the same features. A key assumption is that these features all have some distribution even if we know nothing about it. We then run them through a processing component in order to create that prediction component, after assuming there is a completely correct version of this function. If we do not have complete data or knowledge of the distributions, the prediction function can rarely be completely perfect.
assistant