Question

What are the main differences between supervised learning and unsupervised learning within the confines of machine learning? Explain your answer in 3-5 sentences in a highschoolers words.(4 points)

Answer 1

In machine learning, supervised learning and unsupervised learning are two different ways to teach a computer. Supervised learning uses labeled data, which means the computer learns from examples that already have the correct answers, like teaching it to recognize pictures of cats and dogs with labels saying which is which. On the other hand, unsupervised learning doesn't use labeled data; instead, the computer tries to find patterns or group similar things together on its own, like sorting different fruits based on their shapes and colors without knowing what they are. So, the main difference is that supervised learning relies on answers being provided, while unsupervised learning explores and organizes data without those answers.