APPLICATION OF SUPERVISED LEARNING
LINEAR REGRESSION
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Of the following examples, which would you address using an unsupervised learning algorithm? (Check all that apply.)
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Given email labeled as spam/not spam, learn a spam filter.
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Given a set of news articles found on the web, group them into sets of articles about the same stories.
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Given a database of customer data, automatically discover market segments and group customers into different market segments.
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Given a dataset of patients diagnosed as either having diabetes or not, learn to classify new patients as having diabetes or not.
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Explanation:
Detailed explanation-1: -Clustering is an unsupervised learning technique, which groups unlabeled data points based on their similarity and differences. Hence, points are grouped into clusters in such a way that those in a same group have the most similarity with each other, while points in different groups have little to no similarities.
Detailed explanation-2: -K-means clustering. KNN (k-nearest neighbors) Hierarchal clustering. Anomaly detection. Neural Networks. Principle Component Analysis. Independent Component Analysis. Apriori algorithm. More items
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