MLOps Community Meetup in Chicago

Details
Gather with other machine learning engineering folks in Chicago and listen to two speakers share best practices in deploying machine learning into production.

Special requirements
All attendees will need to sign an NDA prior to the event. We'll be sending out information about signing the NDA soon.

This event features:

• Free food & drinks
• Two talks about machine learning operations (MLOps)
• Ability to ask questions to speakers during Q & A
• Opportunities to meet fellow MLOps practitioners

Schedule:
```
5:45pm -> doors open
6:00pm - 6:25pm -> food/drinks/networking
6:30pm - 7:00pm -> first talk
7:00pm - 7:10pm -> break
7:10pm - 7:40pm -> second talk
7:40pm - 8:00pm -> networking
8:00pm - 8:15pm -> doors close
8:30pm -> possible walk to a nearby bar for folks who want to continue mingling
```
First Talk - "Setting Healthy Boundaries: Generating Geofences at Scale with Machine Learning"
In this talk Stephanie will be describing how project44 developed a new technique for generating geofences for customer facilities using historical data combined with machine learning. The audience will learn how Stephanie and her team did it, including the pitfalls of deploying a product like this to production. She'll make a special point to discuss the varied open source tools the team used including DBSCAN, Dask, geopandas, folium, Airflow, and more.

Second Talk - "Cars-Forge: Spot EC2s Made Easy"
In this talk Nikhil will showcase cars-forge, a tool developed at Cars.com that was recently open sourced. Cars-forge is a command line tool that starts EC2 instances and runs scripts on them. Additionally, Nikhil will also preview Skelebot, a command-line tool for developing ML projects and executing them in docker.

FAQs:
1. Can I attend this event virtually?
No. This is an in-person event.
The talks and Q & A will be recorded and posted on Youtube in the days after the event. We apologize for the inconvenience.

2. Will this be too advanced for me?
Absolutely not! All are welcome, and we encourage MLOps enthusiasts of all experience levels to attend.

Acknowledgements
Thanks to Toast Inc. for hosting us in their space and providing food, drinks, and IT support.