Why use the ML Canvas?
Refine ideas
Describe how your ML system will turn predictions into value for end-users, which data it will learn from, and how to make sure it will work as intended.
Collaborate
Building high-value ML systems typically involves different roles: engineering, product, business, data science… Keep everyone on the same page with the ML Canvas.
Plan ahead
The ML Canvas allows to anticipate costs, identify bottlenecks, specify requirements, and create a roadmap.
Used and recommended by thousands of teams worldwide
To dissect use cases, we recommend the approach developed by Louis Dorard [...] the Machine Learning Canvas
By far the best framework I’ve seen to help clients discover uses for their data, and to keep everyone focused on the same goal.
The MLC allowed us to structure and focus our delivery sprints. The ML system went live in June 2020 and still is.