COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Supervised Learning
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Unsupervised Learning
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Reinforcement Learning
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Semi-supervised Learning
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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: -The most commonly used Supervised Learning algorithms are decision tree, logistic regression, linear regression, support vector machine. The most commonly used Unsupervised Learning algorithms are k-means clustering, hierarchical clustering, and apriori algorithm.
Detailed explanation-3: -Supervised learning: suppose the fruits are apple, banana, cherry, grape. so you already know from your previous work that, the shape of each and every fruit so it is easy to arrange the same type of fruits at one place. here your previous work is called as train data in data mining.