APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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It is possible to design a Linear regression algorithm using a neural network
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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: -A Neural network which is a component of deep learning, can be used as a universal approximator, so it can definitely implement a linear regression algorithm.
Detailed explanation-2: -Linear Regression is an ML algorithm used for supervised learning. Linear regression performs the task to predict a dependent variable(target) based on the given independent variable(s). So, this regression technique finds out a linear relationship between a dependent variable and the other given independent variables.
Detailed explanation-3: -Expert-Verified Answer Both models require input attributes to be numeric is true about neural network and linear regression models.
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