Machine Learning
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Unsupervised Learning
Quick Definition
Discovering hidden patterns in unlabeled data
Full Definition
A ML approach where models discover hidden patterns in data without labeled outputs.
Examples
customer segmentation, dimensionality reduction, anomaly detection
Related Terms
clustering
dimensionality-reduction
More Machine Learning Terms
Online Learning
Updating models incrementally as new data arrives
Active Learning
Algorithm selecting most informative data points for labeling
Kernel Trick
Transforming data to higher dimensions for linear separability
Time Series Analysis
Analyzing time-ordered data for patterns and forecasting
Bias-Variance Tradeoff
The tension between model simplicity and complexity errors
Bagging
Training models on random subsets and averaging predictions