The Bias-Variance Trade-off Explained
What's Bias? In machine learning, Bias refers to the difference between the predicted and expected values. Bias can also be defined as the error that is introduced by approximating a real-life problem. In supervised learning, we usually have a traini...
Jun 26, 20248 min read105
