How do I choose between supervised and unsupervised learning?

How do I choose between supervised and unsupervised learning?

Choosing between supervised and unsupervised learning depends on your data and the problem you're trying to solve.

What kind of data do I need for supervised learning?

For supervised learning, you need labeled data, meaning each training example is paired with an output label.

And what about unsupervised learning?

Unsupervised learning works with unlabeled data, aiming to find patterns or groupings without predefined labels.

Can you give me examples of each type?

Sure! Supervised learning examples include classification tasks like spam detection, while unsupervised learning includes clustering tasks like customer segmentation.