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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Either A or B
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None of the above
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Detailed explanation-1: -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-2: -Product recommendation in Machine Learning refers to the task of recommending product(s) to a customer based on his purchase history. A product recommender system is an ML model which suggests some items, content or services that a specific user would like to buy or indulge in.
Detailed explanation-3: -Netflix, YouTube, Tinder, and Amazon are all examples of recommender systems in use. The systems entice users with relevant suggestions based on the choices they make. Recommender systems can also enhance experiences for: News Websites.