Artificial Intelligence & Machine Learning
What is Gradient descent primarily used for?
- A. A test proposed to evaluate whether a machine can exhibit intelligent behavior indistinguishable from a human's.
- B. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters. ✓
- C. A machine learning approach where models find patterns in data without labeled outputs.
- D. A supervised learning task that predicts a continuous numerical value.
Correct answer
B. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters.
Explanation
Gradient descent refers to an optimization algorithm used to minimize a model's error by iteratively adjusting its parameters.