AI engineering glossary · ML fundamentals
What is dataset?
Dataset: An organised collection of examples used to build or judge a model, usually arranged as a table where rows are examples and columns are features and labels. Its size, quality and how well it represents the real world largely determine what any model trained on it can do.
Dataset: an example
A CSV file of 50,000 customer records with 12 feature columns and one 'churned' column forms a dataset for a churn model.
Related terms
More ML fundamentals terms
- Decision threshold
- Discriminative model
- Distribution shift
- Double descent
- Early stopping
- Empirical risk minimisation
- Feature
- Feature space
Where you learn it
Dataset is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.