Question

Difference between parameter and hyperparameter in machine learning

Answer 1

Answer:

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Model hyperparameters are often referred to as parameters because they are the parts of the machine learning that must be set manually and tuned. Basically, parameters are the ones that the “model” uses to make predictions etc. ... Hyperparameters are the ones that help with the learning process.