Google
OWNML
OWNML
Making it easier to create value with Machine Learning
 
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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
Carlos Escapa, Global AI/ML Practice Lead at Amazon Web Services
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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.
Diego Ventura, Customer Success at MonkeyLearn, Inc
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The MLC allowed us to structure and focus our delivery sprints. The ML system went live in June 2020 and still is.
Christian A. Schiller, Senior IT & Enterprise Architect at Deutsche Telekom
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Online Course

Master ML Project Planning

  • Learn to structure and plan projects with the Machine Learning Canvas

  • Turn fluffy discussions into practical outcomes

  • Reduce implementation time

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To cite this content, please use:

@misc{mlc, title = "Machine Learning Canvas", author = "Louis Dorard", url = "https://www.machinelearningcanvas.com/" year = "2015", }