COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Identify parametric machine learning algorithms
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Linear regression
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CNN
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Logistic regression
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Naïve Bayes
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Explanation:
Detailed explanation-1: -Therefore, naive Bayes can be either parametric or nonparametric, although in practice the former is more common. In machine learning we are often interested in a function of the distribution T(F), for example, the mean.
Detailed explanation-2: -Some examples of parametric methods in Machine Learning include Linear Discriminant Analysis, Naive Bayes and Perceptron.
Detailed explanation-3: -Some more examples of parametric machine learning algorithms include: Logistic Regression. Linear Discriminant Analysis. Perceptron.
Detailed explanation-4: -K-nearest neighbors is an example of a non-parametric algorithm. Its predictions are based on the k most similar training patterns for a new instance of data.
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