COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Classification
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Declassification
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Progression
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Regression
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Detailed explanation-1: -For instance, if there is one independent and one dependent variable, it is known as simple linear regression. Meanwhile, if there are two or more independent and dependent variables, it is called multiple linear regression.
Detailed explanation-2: -There are two types of Supervised Learning techniques: Regression and Classification.
Detailed explanation-3: -There are two main types of supervised learning problems: they are classification that involves predicting a class label and regression that involves predicting a numerical value.
Detailed explanation-4: -Types of supervised Machine learning Algorithms: Linear Regression. Regression Trees. Non-Linear Regression. Bayesian Linear Regression.
Detailed explanation-5: -There are primarily three types of machine learning: Supervised, Unsupervised, and Reinforcement Learning.