COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Where you-label examples-of something (cats, for example) and train the machine learning model on those.
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Where a programmer programs lots of rules into an algorithm
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Either A or B
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None of the above
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Detailed explanation-1: -Classification-Supervised Learning Classification is used when the output variable is categorical i.e. with 2 or more classes. For example, yes or no, male or female, true or false, etc. In order to predict whether a mail is spam or not, we need to first teach the machine what a spam mail is.
Detailed explanation-2: -Supervised learning, also known as supervised machine learning, is a subcategory of machine learning and artificial intelligence. It is defined by its use of labeled datasets to train algorithms that to classify data or predict outcomes accurately.
Detailed explanation-3: -Some popular examples of supervised machine learning algorithms are: Linear regression for regression problems. Random forest for classification and regression problems. Support vector machines for classification problems.