COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following are TRUE about Supervised Learning?
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Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs.
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Supervised learning algorithms are trained using labeled data.
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In Supervised Learning, we normally have two sets of problems, Classification and Regression.
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Supervised learning requires minimum human annotated data
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Explanation:
Detailed explanation-1: -There are two types of Supervised Learning techniques: Regression and Classification.
Detailed explanation-2: -There are two main types of supervised learning problems: they are classification that involves predicting a class label and regression that involves predicting a numerical value. Classification: Supervised learning problem that involves predicting a class label.
Detailed explanation-3: -Predicting rainfall on the historical data is one of the problems of supervised learning. Therefore option C Predicting rainfall on the historical data is the correct option for the above question.
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