Artificial Intelligence & Machine Learning
What is Gradient descent primarily used for?
Difficulty: Hard
About this MCQ
This Hard Artificial Intelligence & Machine Learning MCQ checks one syllabus fact.
The question is: “What is Gradient descent primarily used for?”
The accepted answer is B. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters.. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters is the fact required by What is Gradient descent primarily used for option B Option A A test proposed to evaluate whether a machine can exhibit intelligent behavior indistinguishable from a human's does not match the stem it is a near-miss used to catch incomplete recall of An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters Option C A machine learning approach where models find patterns in data without labeled outputs does not match the stem it is a near-miss used to catch incomplete recall of An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters Remaining.
- A. A test proposed to evaluate whether a machine can exhibit intelligent behavior indistinguishable from a human's.
Why not A: “A test proposed to evaluate whether a machine can exhibit intelligent behavior indistinguishable from a human's.” is not correct. The accepted answer is B. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters.. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters is the fact required by What is Gradient descent primarily used for option B Opti
- 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.
Why not C: “A machine learning approach where models find patterns in data without labeled outputs.” is not correct. The accepted answer is B. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters.. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters is the fact required by What is Gradient descent primarily used for option B Opti
- D. A supervised learning task that predicts a continuous numerical value.
Why not D: “A supervised learning task that predicts a continuous numerical value.” is not correct. The accepted answer is B. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters.. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters is the fact required by What is Gradient descent primarily used for option B Opti
Correct answer
B. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters.
Explanation
An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters is the fact required by What is Gradient descent primarily used for option B Option A A test proposed to evaluate whether a machine can exhibit intelligent behavior indistinguishable from a human's does not match the stem it is a near-miss used to catch incomplete recall of An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters Option C A machine learning approach where models find patterns in data without labeled outputs does not match the stem it is a near-miss used to catch incomplete recall of An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters Remaining.
Source: Artificial Intelligence & Machine Learning Official Reference Guide
Tags: computer science, AI, machine learning, data science
Submitted by: MCQsHub Editorial
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