Question

If you have a basket of different fruit varieties with some prior information on size, color, shape of each and every fruit . Which learning methodology is best applicable? Unsupervised learning supervised learning

Answer 1

If you have a "basket of different fruit" varieties with "some prior information" on "size, color, the shape" of each and every fruit supervised learning will be suitable.

Explanation:

The supervised learning methodology is best applicable in this case. It is because the user can teach or train the machine using data that is well labeled.

Later, the machine is offered with a new set of data that assists the supervised learning algorithm analyzes the training data and creates an accurate result from labeled data.