Digit recognition, is an example of.....

The correct answer is A. Classification. Supervised learning is fairly common in classification problems because the goal is often to get the computer to learn a classification system that we have created. Digit recognition: once again, is a common example of classification learning. More generally, classification…

Machine Learning Concepts

Question

Options

AClassification
BClustering
CUnsupervised learning
DNone of the above

How the community answered

(46 responses)

A
74% (34)
B
4% (2)
C
15% (7)
D
7% (3)

Explanation

Supervised learning is fairly common in classification problems because the goal is often to get the computer to learn a classification system that we have created. Digit recognition: once again, is a common example of classification learning. More generally, classification learning is appropriate for any problem where deducing a classification is useful and the classification is easy to determine. In some cases, it might not even be necessary to give pre-determined classifications to every instance of a problem if the agent can work out the classifications for itself. This would be an example of unsupervised learning in a classification context.

Topics

#classification#supervised learning#digit recognition

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