MCQ IN COMPUTER SCIENCE & ENGINEERING

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COMPUTER SCIENCE AND ENGINEERING

MACHINE LEARNING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Suppose there is a basket and it is filled with some fresh fruits. The task is to arrange the same type of fruits at one place. but there is no information about those fruits beforehand, its the first time that the fruits are being seen or discovered. here the example of
A
Reinforcement Learning
B
Unsupervised Learning
C
Supervised Learning
D
None of these
Explanation: 

Detailed explanation-1: -Unsupervised learning supervised learning. If you have a “basket of different fruit” varieties with “some prior information” on “size, color, the shape” of each and every fruit supervised learning will be suitable.

Detailed explanation-2: -Unsupervised Learning areas of application include market basket analysis, semantic clustering, recommender systems, etc. The most commonly used Supervised Learning algorithms are decision tree, logistic regression, linear regression, support vector machine.

Detailed explanation-3: -The main difference between supervised vs unsupervised learning is the need for labelled training data. Supervised machine learning relies on labelled input and output training data, whereas unsupervised learning processes unlabelled or raw data.

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