
Important Questions To Ask When Scoping ML Projects - ML 094
Adventures in Machine Learning
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How to Cut Corners With Frameworks
On the applied ML side, it seems like we're looking for concise, yet thorough and effective solutions. What are some corners that you think you can cut on the applied side that you can't cut on the framework side? On the framework side, keep in mind that nobody's perfect. No team is perfect. No tool is perfect. Bugs happen. Test coverage is never perfect. It never will be. Things break because we're human. The pursuit of doing that is going to increase complexity for your project at the sake of stability.
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