Love the X-Clacks-Overhead header for Terry Pratchett. https://xclacksoverhead.org/home/about
Show HN: Fullstack ML – From Notebooks to Deployment
21–25 of 25 posts
Re: Show HN: Fullstack ML – From Notebooks to Deployment
#22this is freaking awesome!
was looking for something like this for a long time. Much appreciated!!!
Re: Show HN: Fullstack ML – From Notebooks to Deployment
#23Nice demo! I definitely agree that the experience of building a real-world products out of ML-related ideas is what often differentiates juniors from seniors. Building sklearn models out of clean data can only prepare you so much for the real life.
Luckily people are trying to address this gap in education options! For example, https://sharpestminds.com is a platform where you gain skills by building such a full-stack ML project under a mentorship of an experienced data scientist yourself.
Re: Show HN: Fullstack ML – From Notebooks to Deployment
#24This feels like it doesn't live up to its own hype because it doesn't really exhibit a production-quality deployment of a Python application but something closer to a dev server. It uses a single-threaded flask server behind a nginx reverse proxy without a WSGI layer to handle multiple requests, etc. Here is the nginx code: server { listen 80; server_name: localhost; location / { proxy_pass http://fai:4242/; proxy_se…
I don't think supervisord is necessary when you're in a container environment. Just write a healthcheck to bring up a new container when something goes wrong
Re: Show HN: Fullstack ML – From Notebooks to Deployment
#25While the example here is definitely trivial, it would be nice to see some more documentation. Particularly around project structure, internals, and thought process.
Seeing e2e projects is definitely a huge plus, but without relevant commentary I don't see how it is consumable enough to help a large enough mass.