What is Hyperparameter in AI/ML?

• External configuration settings that are not learned from the data but are set prior to the training process.
• These parameters influence the overall behavior of a machine learning model, impacting how the model learns and generalizes from the training data.

What is Parameters in AI/ML?

• Internal variables that a model learns from the training data.
• Values that the machine learning algorithm adjusts during the training process to make predictions on new, unseen data.
• During the training process, the model iteratively adjusts its parameters to minimize the difference between its predictions and the actual target values in the training data.
• The quality of the learned parameters determines how well the model generalizes to new, unseen data.
• After training, these learned parameters are used to make predictions on new input data.