Knowledge Graph — Coursera Notes › Academic disciplines › Computer Science / Information Technology › Artificial Intelligence › Machine Learning & Data

Unsupervised Learning

concept · part of Machine Learning & Data

A machine learning paradigm that finds patterns in unlabeled data, used for clustering and association.

Inside Unsupervised Learning (3)

• Clustering — A technique that groups similar data points together, including methods like k-means, DBSCAN, and hierarchical clustering.
• Dimensionality Reduction — A technique that simplifies data while preserving patterns, including methods like PCA, t-SNE, and autoencoders.
• Association Rule Learning — A technique that identifies relationships between variables, often used in market basket analysis.

Connections

• Uses Azure ML Service
• Related to Reinforcement Learning
• Related to Supervised Learning

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