Machine Learning Glossary

Browse 11 machine learning terms defined in plain English, from the cultural dictionary of computing.

11 Machine Learning Terms

clustering
An unsupervised machine learning technique that groups similar data points together without predefined labels. Common algorithms include k-means, DBSCAN, and...
confusion matrix
A table that summarizes the performance of a classification model by showing counts of true positives, true negatives, false positives, and false negatives....
dimensionality reduction
A set of techniques (PCA, t-SNE, UMAP) that reduce the number of features in a dataset while preserving as much meaningful structure as possible. Essential...
F1 score
The harmonic mean of precision and recall, providing a single metric that balances both. Ranges from 0 to 1, where 1 is perfect. The F1 score is especially...
feature engineering
The process of using domain knowledge to create, transform, or select input variables (features) that improve a machine learning model's predictive...
feature store
A centralized repository for storing, managing, and serving machine learning features — the computed input variables used by ML models. Feature stores ensure...
MLOps
A set of practices combining machine learning, DevOps, and data engineering to reliably deploy and maintain ML systems in production. MLOps covers the full...
model serving
The infrastructure and process of deploying trained machine learning models to production so they can receive input data and return predictions in real time or...
precision (ML)
The fraction of positive predictions that are actually correct: true positives divided by (true positives + false positives). High precision means the model...
recall (ML)
The fraction of actual positive cases that the model correctly identified: true positives divided by (true positives + false negatives). High recall means the...
regression
A family of statistical and machine learning techniques used to model the relationship between a dependent variable and one or more independent variables,...

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