COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Supervised learning is one of the most basic types of machine learning
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In supervised learning, the ML algorithm is given a small training datasets to work with.
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The training datasets is also very similar to the final datasets in its characteristics
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All are true
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Detailed explanation-1: -Answer-A) PCA Is not supervised learning.
Detailed explanation-2: -Unsupervised algorithm only processes “features” and does not process tags. Dimensionality reduction algorithm is not unsupervised learning. K-means algorithm and SVM algorithm belong to unsupervised learning. None of the above 2.
Detailed explanation-3: -Expert-Verified Answer. The statement i.e. not true about the machine learning is that Machine learning gives computers the ability to make decision by writing down rules and methods and being explicitly programmed.
Detailed explanation-4: -Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs. It infers a function from labeled training data consisting of a set of training examples.