Say you have a classification model with an accuracy of 98%, while the current manual system you're replacing is 98.7% accurate.
Is the model good enough to put in production? Obviously that's not enough information, but what *is* enough information? https://t.co/DyO8x8kgmg
After working with @PyTorch's TorchServe for a bit
(And doing a full 360 love it, hate it, love it cycle)
I wrote on how to customize it so people could extend it even further. And hopefully spare a few headaches.
Go check it out!
https://t.co/bm4LfdRtYQ
Yesterday I found myself googling how to download multiple files from #AWS S3 in parallel using #Python
After not finding anything reliable and spending a couple of hours on it, I wrote a post about what I learned and how to do it
https://t.co/ZmdaMwfbAz
Searching for optimal classification thresholds (e.g. for building decision trees) can be done neatly in log-linear time. The underlying idea of how to do it turns out to be useful in a bunch of unexpected cases. https://t.co/MDaEUMOASe