COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Decision Tree
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Logistic regression
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KNN
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Multiple linear regression
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Detailed explanation-1: -Linear regression can be considered as a parametric machine learning algorithm. A parametric model will first select a form for the function and then learn the coefficients for the function from the training dataset.
Detailed explanation-2: -Some more examples of parametric machine learning algorithms include: Logistic Regression. Linear Discriminant Analysis. Perceptron.
Detailed explanation-3: -Linear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the response and explanatory variables.
Detailed explanation-4: -The following are five different examples of parametric models: exponential distributions, poisson distributions, normal distributions, the Weibull distribution, and linear regressions.