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Clustering
An unsupervised learning technique that groups similar data points together based on their features or characteristics.
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- Machine Learning ✓ understood
Building systems that learn patterns from data instead of following hand-written rules, getting better at a task as they see more examples.
- Unsupervised Learning ✓ understood
Learning from unlabeled data to discover hidden patterns, structures, or relationships without explicit target outputs.
- Clustering · you are here ✓ understood
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Foundations Dimensionality Reduction Techniques to reduce the number of input features while preserving important information (PCA, t-SNE, autoencoders). Foundations Expectation-Maximization An iterative algorithm for finding maximum likelihood estimates in models with latent variables. Foundations Anomaly Detection Identifying unusual patterns or outliers in data that don't conform to expected behavior, used for fraud detection and monitoring. Foundations Principal Component Analysis A dimensionality reduction technique that transforms data into orthogonal components ordered by variance explained. Language & LLMs Topic Modeling Discovering abstract topics in document collections, often using techniques like LDA.