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Working Groups/Zen of ML: Difference between revisions
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''The Zen of ML should:'' | ''The Zen of ML should:'' | ||
1. Focus on decision making and identify decisions that arise in building and maintaining machine learning pipelines (from data collection to evaluation) | 1. Focus on decision making and identify decisions that arise in building and maintaining machine learning pipelines (from data collection to evaluation)<br /> | ||
2. Be a useful starting point for beginner pedagogy (both self-learning and teaching) | 2. Be a useful starting point for beginner pedagogy (both self-learning and teaching)<br /> | ||
3. Be a useful critical reflection tool to revisit for practitioners | 3. Be a useful critical reflection tool to revisit for practitioners<br /> | ||
4. Language must connect to the technical domain, but remain accessible and comprehensible - i.e. make sense to human beings, minimal jargon | 4. Language must connect to the technical domain, but remain accessible and comprehensible - i.e. make sense to human beings, minimal jargon<br /> | ||
5. Be neither a checklist, nor a specification: | 5. Be neither a checklist, nor a specification:<br /> | ||
* Comprehensive but non-exhaustive | * Comprehensive but non-exhaustive | ||
* General, not custom built for specific ML project types. | * General, not custom built for specific ML project types. | ||
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* If … then … | * If … then … | ||
* Shame on you! (i.e. what we don't like) | * Shame on you! (i.e. what we don't like) | ||
6. Should not be specific to a particular framework (e.g. PyTorch, Scikit-learn) | 6. Should not be specific to a particular framework (e.g. PyTorch, Scikit-learn)<br /> | ||
7. Be as short as possible while being thorough; possible to process at a glance (or three). 18 - 20 short sentences are nice | 7. Be as short as possible while being thorough; possible to process at a glance (or three). 18 - 20 short sentences are nice <br /> | ||
8. Resonate with responsible ML best practice | 8. Resonate with responsible ML best practice <br /> | ||
The project held a workshop and hosted a hackathon at MozFest 2021. | The project held a workshop and hosted a hackathon at MozFest 2021. | ||