COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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like teaching a kid how to ride a bike
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helping them till they understand
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classify things by their features
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giving concrete known examples to the computer
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Detailed explanation-1: -Predicting prices of a house given the features of house like size, price etc is one of the common examples of Regression. It is a supervised technique.
Detailed explanation-2: -Regression is a supervised machine learning technique which is used to predict continuous values. The ultimate goal of the regression algorithm is to plot a best-fit line or a curve between the data. The three main metrics that are used for evaluating the trained regression model are variance, bias and error.
Detailed explanation-3: -Some real-world examples for regression analysis include predicting the price of a house given house features, predicting the impact of SAT/GRE scores on college admissions, predicting the sales based on input parameters, predicting the weather, etc.
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.