Glossary term
Glossary term
Foundations
Training a model from features and their corresponding labels. Supervised machine learning is analogous to learning a subject by studying a set of questions and their corresponding answers. After mastering the mapping between questions and answers, a student can then provide answers to new (never-before-seen) questions on the same topic.
Compare with unsupervised machine learning.
See Supervised Learning in the Introduction to ML course for more information.
Created for this library
A retail forecasting team uses supervised machine learning to predict next-week sales from historical SKU and store features.
A bank's credit team uses supervised machine learning to predict default risk from labeled historical applications.
A medical AI team uses supervised machine learning to predict diagnosis labels from annotated medical scans.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License