Supervised Learning is a type of machine learning that involves training a machine model on a dataset that has already been labeled or classified with the correct output or response. The computer is then trained to recognize patterns and relationships within the data and use that knowledge to make predictions about new data. Once the model has learned these patterns, we can then give it new, unlabeled images and it should be able to correctly identify the type based on patterns it learned during training. Supervised Learning is a powerful tool for automating tasks that require making decisions based on data, such as predicting outcomes, classifying objects, or detecting patterns.
