minidatasetistä
Minidataset is a term used to describe a small, carefully curated subset of a larger dataset. These smaller datasets are often created for specific purposes such as initial model testing, debugging, or demonstration. The key characteristic of a minidataset is its manageable size, allowing researchers and developers to iterate quickly without the computational overhead associated with processing the entire original dataset.
The creation of a minidataset typically involves selecting a representative sample of the original data. This
Minidatasets are invaluable in the machine learning development lifecycle. They enable rapid prototyping, allowing developers to