Beginner
Artificial Intelligence & Machine Learning
Q31 / 100
What is a hyperparameter?
Correct! Well done.
Incorrect.
The correct answer is B) A configuration value set before training that controls the learning process (learning rate, number of layers, regularization strength)
B
Correct Answer
A configuration value set before training that controls the learning process (learning rate, number of layers, regularization strength)
Explanation
Model parameters (weights) are learned from data. Hyperparameters (learning rate, batch size, number of trees, k in k-means) are set by the practitioner and tuned via grid search, random search, or Bayesian optimization.
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31/100