What is the difference between ‘parameters’ and ‘hyperparameters’ in machine learning?

Question

AI Fundamentals — Medium

What is the difference between ‘parameters’ and ‘hyperparameters’ in machine learning?

Accepted Answer

Parameters in machine learning are values learned from data during training, while hyperparameters are set before training to control the learning process. This distinction is crucial for understanding how machine learning models are trained and optimized.