Why do we use SVM 2024?
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Studied at the University of Melbourne, Lives in Melbourne, Australia.
SVM is a supervised machine learning algorithm which can be used for classification or regression problems. It uses a technique called the kernel trick to transform your data and then based on these transformations it finds an optimal boundary between the possible outputs.
2023-05-17 14:43:18
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Julian Ramos
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SVM is a supervised machine learning algorithm which can be used for classification or regression problems. It uses a technique called the kernel trick to transform your data and then based on these transformations it finds an optimal boundary between the possible outputs.