What are the different types of training algorithms in AI?

What are the different types of training algorithms in AI?

There are several types of training algorithms in AI, including supervised, unsupervised, semi-supervised, and reinforcement learning.

Can you explain supervised learning?

Sure! Supervised learning involves training a model on a labeled dataset, where the algorithm learns to map inputs to known outputs.

What about unsupervised learning?

Unsupervised learning, on the other hand, deals with unlabeled data. The algorithm tries to find patterns or groupings in the data without prior knowledge of the outcomes.

What is reinforcement learning?

Reinforcement learning is a type of training where an agent learns to make decisions by taking actions in an environment to maximize cumulative rewards.

Which algorithm is the most commonly used?

It depends on the application, but supervised learning is often the most commonly used due to its effectiveness in many tasks.