COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Grouping different operating modes of a machine
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Predicting component failure based on historical data
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Predicting quality deviation based on historical data
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All the above
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Detailed explanation-1: -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.
Detailed explanation-2: -Supervised learning is a subset of artificial intelligence and machine learning. It is also known as Supervised machine learning. And is defined by its ability to train algorithms to categorize data and predict outcomes accurately. Moreover, it teaches computer systems to find hidden insights using the available data.
Detailed explanation-3: -The most commonly used Supervised Learning algorithms are decision tree, logistic regression, linear regression, support vector machine.
Detailed explanation-4: -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-5: -(1)Supervised learning is an implementation approach to Artificial Intelligence. It is used to make predictions and sense out of the given data. Hence, all of the given problems are supervised learning problems. The answer is option (d).