APPLICATION OF SUPERVISED LEARNING
DEEP LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the folllowing is an example of feature extraction?
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Constructing bag of words vector from an email
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Applying PCA projects to a large high-dimensional data
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Removing stopwords in a sentence
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All of the above
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Explanation:
Detailed explanation-1: -Feature extraction is a part of the dimensionality reduction process, in which, an initial set of the raw data is divided and reduced to more manageable groups. So when you want to process it will be easier. The most important characteristic of these large data sets is that they have a large number of variables.
Detailed explanation-2: -Feature extraction is a process of dimensionality reduction by which an initial set of raw data is reduced to more manageable groups for processing.
There is 1 question to complete.