COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Finds all kind of unknown patterns in data.
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Help you to find features which can be useful for categorization.
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Help you to Predict whether a fruit is apple or not
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Help you to predict prize of stock
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Detailed explanation-1: -The main goal of unsupervised learning is to discover hidden and interesting patterns in unlabeled data. Unlike supervised learning, unsupervised learning methods cannot be directly applied to a regression or a classification problem as one has no idea what the values for the output might be.
Detailed explanation-2: -Advantages of unsupervised machine learning include: Requires less manual data preparation (i.e., no hand labeling) than supervised machine learning. Capable of finding previously unknown patterns in data, which is impossible with supervised machine learning models.
Detailed explanation-3: -Explanation : Unsupervised Learning is not characterized by that it takes data and rules as inputs and uses these inputs to develop an algorithm, which will give us an answer.
Detailed explanation-4: -Some of the most common algorithms used in unsupervised learning include: (1) Clustering, (2) Anomaly detection, (3) Approaches for learning latent variable models.