APPLICATION OF SUPERVISED LEARNING
SUPERVISED AND UNSUPERVISED LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of these problems would you address with an unsupervised learning algorithm?
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Given a dataset of MRI scans labelled ‘has tumor’ oror ‘does not have tumor’, learn to classify whether a new patient has tumor.
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Given a dataset containing user data, learn to group them into different market segments automatically.
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Given a labeled dataset containing pictures of animals, determine whether the picture contains a cat.
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None of the above
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Explanation:
Detailed explanation-1: -Approaches. Some of the most common algorithms used in unsupervised learning include: (1) Clustering, (2) Anomaly detection, (3) Approaches for learning latent variable models.
Detailed explanation-2: -Some use cases for unsupervised learning-more specifically, clustering-include: Customer segmentation, or understanding different customer groups around which to build marketing or other business strategies.
There is 1 question to complete.