Supervised Learning is like having a teacher guide you through learning a new subject. Imagine you’re learning to identify different types of fruit. Your teacher shows you lots of pictures of apples and oranges, pointing out the unique features of each fruit. Over time, with practice and guidance, you start to recognize which fruit is which even in new pictures.
Supervised Learning works similarly, but instead of a human teacher, it’s a computer program that learns from examples. You provide the computer with many examples of data, each labeled with the correct answer. For instance, if you want the computer to recognize cats and dogs in photos, you would show it thousands of pictures, each labeled as either “cat” or “dog.” The computer uses these labeled examples to learn the patterns and features that distinguish cats from dogs.
As the computer processes these examples, it starts to understand how to identify cats and dogs in new, unlabeled pictures. It’s like how you learn to recognize fruit by studying many examples with your teacher’s help.
In simple terms, Supervised Learning is about teaching a computer to make decisions or predictions by showing it lots of examples with the correct answers, so it can learn to recognize patterns and apply them to new data.
