USCProdML
Teaching aid for 30 Oct 2020 Production ML Seminar
Background information:
There are a lot of ways to deploy and scale ML applications today (this is both a good and bad thing) but since it's all changing at breakneck pace, maybe school hasn't caught up yet. So I want to show you a bit about the deployment paradigms that exist and give you a taste for where you might want to invest more time as you continue your ML/DS/AI Journey.
This repo current covers Part 1 of the workshop
To follow the lecture:
Clone this repository locally, then launch ML Models in Production Workshop.ipynb in Jupyter.
To run the demo:
- Visit the Binder landing page
- Enter https://github.com/stbiadmin/USCProdML into the first field
- Enter the word "main" into the 2nd field.
- Change the "file" dropdown in the third field to "URL"
- Enter voila/render/HousePriceApp.ipynb into the third field
- Click "launch"