Dataset task manager for machine learning
When training datasets for machine learning use cases, it’s essential to stay organized. When building a new model from a dataset, it’s helpful to know what tasks are being processed, their status, and when they started. Doing so allows you to keep track of machine learning model progress and ensure the entire dataset is processed.
With Retool, you can build a task manager for machine learning use cases. You’ll be able to track the progression of datasets, create new tasks, and add context for others — all within a single application.
Industry
End users
Components
Table
Button
Dropdown
Components
Build from a handful of drag-and-drop components
Data source
To manage your machine learning datasets, you’ll need to connect to a data store where datasets reside. With Retool, you can connect to dozens of data stores out of the box.
1. Create resource
2. Read data
3. Connect data with UIRelated use cases
What you can build with Retool
Pedro Franceschi
Co-founder and CTO at Brex
Retool is incredible. It's been a critical for our ops from the start, and is the reason we’re able to scale so quickly. And the on-prem version with access controls & audit logs makes it easy to meet our compliance requirements.