EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Classification and Regression
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Clustering and Dimensionality Reduction
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Rule Based and Learning Based
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Classification and Clustering
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Detailed explanation-1: -While training, the model gets to look at which label corresponds to our data and hence can find patterns between our data and those labels. Some examples of Supervised Learning include: It classifies spam Detection by teaching a model of what mail is spam and not spam.
Detailed explanation-2: -Regression models are used to predict a continuous value. Predicting prices of a house given the features of house like size, price etc is one of the common examples of Regression. It is a supervised technique.
Detailed explanation-3: -Regression algorithms solve regression problems such as house price predictions and weather predictions. Classification algorithms solve classification problems like identifying spam e-mails, spotting cancer cells, and speech recognition.