AI, Supervised Learning, Machine Learning.
Cross-validation. Let’s say you have a group of friends who are taste-testing your dishes. To make sure your recipe is universally good and not just catering to one person’s taste, you might let different friends taste different parts of the dish. Similarly, cross-validation influences loss