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In a case study, SVM was used to classify emails as spam or not spam. What type
Practice Questions
Q1
In a case study, SVM was used to classify emails as spam or not spam. What type of learning is this an example of?
Unsupervised learning
Reinforcement learning
Supervised learning
Semi-supervised learning
Questions & Step-by-Step Solutions
In a case study, SVM was used to classify emails as spam or not spam. What type of learning is this an example of?
Steps
Concepts
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.
No concepts available.
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