Machine learning interview preparation -- intro

So your data already has the right classification associated with it. Common use of supervised learning -- to predict values for new data. With supervised learning you have to rebuild models each time you get new labeled data, to make sure that the predictions are accurate. Having a dataset dedicated to it you can teach your model to predict what fruit it sees on a picture. Unsupervised learning -- is when you train a model with unlabeled data.