Metadata
- Author: Duncan Gilchrist
- Full Title:: The Danger Zone in Data Science
- Category:: 🗞️Articles
- URL:: https://delphinaai.substack.com/p/the-danger-zone-in-data-science?utm_source=substack&utm_medium=email
- Finished date:: 2024-06-01
Highlights
Mediocre product management, mediocre engineering, or mediocre finance aren’t good, but they are often tolerable. (View Highlight)
But the returns to quality in ML are highly nonlinear. Great ML is game changing, while mediocre ML is a whole other beast — and it’s downright dangerous. Here’s how we think about it: (View Highlight)
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