In machine learning, the terms “parameters” and “hyperparameters” are often used, but they refer to distinct aspects of a model and its training process: 1. Model Parameters are the internal variables or coefficients of a machine learning model that are learned directly from the training data during the learning process. 2. Hyperparameters are external configuration … Continue reading Parameters vs Hyperparameters