AI GlossaryUnsupervised LearningENTRY — Machine Learning
[Machine Learning]
Unsupervised Learning.
Machine learning approach where models find patterns in data without labeled examples.
In-depth explanation
01Unsupervised learning algorithms discover hidden structures in data without any guidance about what to look for. Common techniques include clustering (grouping similar items), dimensionality reduction (simplifying data), and anomaly detection (finding outliers). This approach is valuable when labeled data is unavailable or expensive to obtain.
Examples
02EX. 01
Customer segmentation
EX. 02
Topic modeling
EX. 03
Anomaly detection
More in Machine Learning
0301ClassificationPredicting which category or class an input belongs to from a set of predefined categories.02Cross-ValidationA technique to evaluate model performance by training and testing on different subsets of data.03Ensemble LearningCombining multiple models to produce better predictions than any single model.04FeatureAn individual measurable property or characteristic of data used as input to a machine learning model.05Feature EngineeringThe process of using domain knowledge to create new features that improve model performance.06Gradient DescentAn optimization algorithm that iteratively adjusts model parameters to minimize the loss function.
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