MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

SUPERVISED AND UNSUPERVISED LEARNING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
You want a software that analyses emails, and for each email determine if it is a spam email or not a spam email. Is this a regression problem or a classification problem?
A
This is a regression problem
B
This is a classification problem
C
Either A or B
D
None of the above
Explanation: 

Detailed explanation-1: -Would you frame the problem of spam detection as a supervised learning problem or an unsupervised learning problem? Spam detection is a supervised learning problem because the labels are known (spam or no spam).

Detailed explanation-2: -Machine learning (ML) classification problems are those which require the given data set to be classified in two or more categories. For example, whether a person is suffering from a disease X (answer in Yes or No) can be termed as a classification problem.

Detailed explanation-3: -The spams in emails, filtering of new messages involve the use of email to detect the messages whether it is a spam or not and categorizes it in the right email folder. The classification of heavenly bodies such as stars and planets is automatic; hence it is an example unsupervised Learning.

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