2. Workspaces and models
The two basic elements of NextBrain are workspaces and models.
Workspaces are equivalent to folders where we can store models. We can share workspaces with others, and this will include all models inside. Workspaces allow you to easily share data between models.
A machine learning model is built from an input dataset and an algorithm trained with this dataset. So in models, we can have both data and trained algorithms.
Workspaces are equivalent to folders where we can store models. We can share workspaces with others, and this will include all models inside. Workspaces allow you to easily share data between models.
A machine learning model is built from an input dataset and an algorithm trained with this dataset. So in models, we can have both data and trained algorithms.
Updated on: 20/02/2023
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