Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The training process for artificial intelligence (AI) algorithms is ...

When it comes to these concepts there are important differences between supervised and unsupervised learning. Here we look at those differences and what they mean for the future of AI and ML.

Supervised Learning Supervised learning is not what its name implies. Operators don't sit around watching the learner as it works and adjusting it for errors.

Common in machine learning, overfitting makes a system that knows its training data but can't predict patterns in new data.

Learn More Supervised learning is a more commonly used form of machine learning than reinforcement learning in part because it’s a faster, cheaper form of machine learning.

In supervised learning, the most prevalent, the data is labeled to tell the machine exactly what patterns it should look for.