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4 results for “supervised learning”
K-Means Clustering
K-means clustering is an unsupervised machine learning algorithm that partitions a dataset into k groups by minimising the sum of squared distances between data points and their assigned cluster centroids.
Machine Learning
Machine learning is a subfield of artificial intelligence in which systems improve their performance on tasks through experience — by automatically learning patterns from data rather than following explicitly programmed rules.
Principal Component Analysis
An unsupervised statistical technique that transforms correlated variables into a smaller set of uncorrelated components that preserve as much variance in the original data as possible.
Self-Supervised Learning
A machine learning training paradigm in which a model generates its own supervisory signal from unlabelled data by solving pretext tasks, learning rich representations without human-annotated labels.