Difference Between Parameters and Hyperparameters in Machine Learning
Machine learning models rely on various configurations and numerical values to learn from data and make accurate predictions. These values are categorized as parameters and hyperparameters. While both are essential for model performance, they serve different roles in the training process. Understanding the difference between parameters and hyperparameters is important to develop efficient machine learning … Read more