What is SVM?
SVM stands for Support Vector Machine. It's a supervised machine learning algorithm used for classification and regression tasks.
How does SVM work?
SVM works by finding the hyperplane that best separates different classes in the feature space.
What are the advantages of using SVM?
Some advantages include its effectiveness in high-dimensional spaces and its ability to model non-linear decision boundaries using kernels.
Can you give me an example of SVM in action?
Sure! An example is using SVM to classify emails as spam or not spam based on their content.
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