DATABASE FUNDAMENTALS
DATA WAREHOUSING AND DATA MINING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Predicting the outcome of a cricket match as win or loss based on historical data
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Recommending a movie to an existing user on a website like IMDB based on the search history (including other users)
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Predicting the gender of a person from his/her image. You are given the data of 1 Million images along the gender
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Given the class labels of old news articles, predicting the class of a new news article from its content. Class of a news article can be such as sports, politics, technology, etc.
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All of the above
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Detailed explanation-1: -(1)Supervised learning is an implementation approach to Artificial Intelligence. It is used to make predictions and sense out of the given data. Hence, all of the given problems are supervised learning problems. The answer is option (d).
Detailed explanation-2: -Predicting rainfall on the historical data is one of the problems of supervised learning. Therefore option C Predicting rainfall on the historical data is the correct option for the above question.
Detailed explanation-3: -Regression is used to understand the relationship between dependable and independent variables. Moreover, it is a type of supervised learning that learns from labelled data sets to predict continuous output for different data in an algorithm.
Detailed explanation-4: -The most commonly used Supervised Learning algorithms are decision tree, logistic regression, linear regression, support vector machine.
Detailed explanation-5: -One practical example of supervised learning problems is predicting house prices. How is this achieved? First, we need data about the houses: square footage, number of rooms, features, whether a house has a garden or not, and so on. We then need to know the prices of these houses, i.e. the corresponding labels.