Artificial Intelligence & Machine Learning
Which of the following best describes Supervised learning?
Difficulty: Medium
About this MCQ
This Medium Artificial Intelligence & Machine Learning MCQ checks one syllabus fact.
The question is: “Which of the following best describes Supervised learning?”
The accepted answer is C. A machine learning approach where models are trained on labeled input-output data.. A machine learning approach where models are trained on labeled input-output data is the person body or term that satisfies Which of the following best describes Supervised learning option C Option A An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters does not match the stem it is a near-miss used to catch incomplete recall of A machine learning approach where models are trained on labeled input-output data Option B A machine learning approach where an agent learns to make decisions by receiving rewards or penalties does not match the stem it is a near-miss used to catch incomplete recall of A machine learning approach where models are trained on labeled input-output data Remaining alternatives.
- A. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters.
Why not A: “An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters.” is not correct. The accepted answer is C. A machine learning approach where models are trained on labeled input-output data.. A machine learning approach where models are trained on labeled input-output data is the person body or term that satisfies Which of the following best describes Supervised learnin
- B. A machine learning approach where an agent learns to make decisions by receiving rewards or penalties.
Why not B: “A machine learning approach where an agent learns to make decisions by receiving rewards or penalties.” is not correct. The accepted answer is C. A machine learning approach where models are trained on labeled input-output data.. A machine learning approach where models are trained on labeled input-output data is the person body or term that satisfies Which of the following best describes Supervised learnin
- C. A machine learning approach where models are trained on labeled input-output data. ✓
- D. A supervised learning task that assigns input data into predefined categories.
Why not D: “A supervised learning task that assigns input data into predefined categories.” is not correct. The accepted answer is C. A machine learning approach where models are trained on labeled input-output data.. A machine learning approach where models are trained on labeled input-output data is the person body or term that satisfies Which of the following best describes Supervised learnin
Correct answer
C. A machine learning approach where models are trained on labeled input-output data.
Explanation
A machine learning approach where models are trained on labeled input-output data is the person body or term that satisfies Which of the following best describes Supervised learning option C Option A An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters does not match the stem it is a near-miss used to catch incomplete recall of A machine learning approach where models are trained on labeled input-output data Option B A machine learning approach where an agent learns to make decisions by receiving rewards or penalties does not match the stem it is a near-miss used to catch incomplete recall of A machine learning approach where models are trained on labeled input-output data Remaining alternatives.
Source: Artificial Intelligence & Machine Learning Official Reference Guide
Tags: computer science, AI, machine learning, data science
Submitted by: MCQsHub Editorial
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