Machine Learning Canvas
Why the Machine Learning Canvas exists
Most ML projects stall for the same reason: nobody defined what to predict, what data it needs, and what success is worth, before anyone started building.
I created the Machine Learning Canvas in 2015 to fix that — one page, filled in before a model gets built or a budget gets committed, that forces those questions into the open.
Used by practitioners worldwide
“To dissect use cases, we recommend the Machine Learning Canvas”
“Best framework I’ve seen to help clients discover uses for their data”
“The Canvas allowed us to structure and focus our delivery sprints.”
The Machine Learning Canvas has been used in industry, consulting, and academic contexts since 2015. If you need to reference it formally (e.g. in documentation or publications), you may use the following citation:
@misc{mlc,
title = "Machine Learning Canvas",
author = "Louis Dorard (OWNML)",
url = "https://www.ownml.co/"
year = "2015",
}
The canvas is one part of how we run ML projects end to end, from first scoping call to what's live in production. See how it works