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Nope, not just fluff. New ML model architectures get too much hype, while it's relatively simple tools like this that actually make the difference in whether o
by madisonmay 9y ago
Nope, not just fluff. New ML model architectures get too much hype, while it's relatively simple tools like this that actually make the difference in whether or not ML can applied to industry problems. The low hanging fruit in the ML industry are in workflow tools rather than novel model architectures. I have a huge amount of respect for the folks at explosion.ai, largely because their solutions are consistently good in practice rather than good in theory.
- aub3bhat 9y agoYou might be interested in Deep Video Analytics, its a Visual Data Analytics platform that I am building. [1] [1] https://github.com/AKSHAYUBHAT/DeepVideoAnalytics https://github.com/AKSHAYUBHAT/DeepVideoAnalytics
- davedx 9y agoExactly. I'm working on something related: building a UI on top of declarative ETL pipelines to drive ML models. I think a lot of time (and big data resources) can be saved.