Companies implementing Hyperparameter

A hyperparameter is a configuration setting for a machine learning model that is defined before training and stays fixed during the training process, influencing model architecture, learning rate, and overall complexity. Selecting optimal hyperparameters—known as hyperparameter tuning—is essential for achieving the best model performance.