In a case study, SVM was used to classify emails as spam or not spam. What type

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Question: In a case study, SVM was used to classify emails as spam or not spam. What type of learning is this an example of?

Options:

Correct Answer: Supervised learning

Solution:

Classifying emails as spam or not spam is an example of supervised learning, where the model is trained on labeled data.

In a case study, SVM was used to classify emails as spam or not spam. What type of learning is this an example of?

In a case study, SVM was used to classify emails as spam or not spam. What type of learning is this an example of?

Step 1: Understand what SVM (Support Vector Machine) is. It is a type of algorithm used for classification tasks.
Step 2: Identify the task in the case study, which is to classify emails as spam or not spam.
Step 3: Recognize that in this task, the emails are labeled as either 'spam' or 'not spam'.
Step 4: Learn that when a model is trained on labeled data (data that has known outcomes), it is called supervised learning.
Step 5: Conclude that since the SVM is classifying emails based on labeled data, this is an example of supervised learning.

Supervised Learning – A type of machine learning where the model is trained on labeled data, meaning the input data is paired with the correct output.