Machine Learning
Support Vector Machine
SVM
Machine Learning· Intermediate
Definition
A supervised learning algorithm that finds the optimal hyperplane separating data into classes by maximizing the margin between the closest data points (support vectors) of each class. Highly effective for high-dimensional data and binary classification tasks.
Enterprise Context
Used in document classification, anomaly detection, and bioinformatics. Remains competitive in domains with limited training data where deep learning is overkill.
Tags
#supervised#classification#classical
MS
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