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4 results for “supervised-learning”
Anomaly Detection
A class of machine learning techniques that identifies rare events, observations, or patterns that differ significantly from the majority of data, used for fraud, intrusion, and fault detection.
Autoencoder
An autoencoder is a type of artificial neural network trained to reconstruct its input through a compressed internal representation, used for dimensionality reduction, feature learning, and anomaly detection.
Data Labelling
Data labelling is the process of attaching meaningful tags, classes, or annotations to raw data so that supervised machine learning models can learn to predict those labels on unseen examples.
Support Vector Machine
A support vector machine (SVM) is a supervised machine learning algorithm that finds the optimal hyperplane separating data points of different classes by maximising the margin between the boundary and the nearest training examples.