APPLICATION OF SUPERVISED LEARNING
UNSUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Supervised learning is learning from examples in a training data set, Or something that was given by a human supervision.True or False?
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True
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False
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Either A or B
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None of the above
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Explanation:
Detailed explanation-1: -One practical example of supervised learning problems is predicting house prices. How is this achieved? First, we need data about the houses: square footage, number of rooms, features, whether a house has a garden or not, and so on. We then need to know the prices of these houses, i.e. the corresponding labels.
Detailed explanation-2: -Regression. Regression is used to understand the relationship between dependable and independent variables. Naive Bayes. A Naive Bayes algorithm is used for large datasets. Classification. Neutral networks. Random forest. 10-Aug-2022
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