When should I use different types of learning?

Can you explain when to use different types of learning?

Sure! There are several types of learning, like supervised, unsupervised, and reinforcement learning. Each has its own use cases.

What is supervised learning best for?

Supervised learning is best for tasks where you have labeled data, like classification and regression problems.

And what about unsupervised learning?

Unsupervised learning is ideal for discovering patterns in data without labels, such as clustering and association.

Can you give an example of reinforcement learning?

Absolutely! Reinforcement learning is often used in game AI, where an agent learns to make decisions by receiving rewards or penalties.