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:

1. Visit the Binder landing page
2. Enter https://github.com/stbiadmin/USCProdML into the first field
3. Enter the word "main" into the 2nd field.
4. Change the "file" dropdown in the third field to "URL"
5. Enter voila/render/HousePriceApp.ipynb into the third field
6. Click "launch"