Leveraging Open Source Tools in ML

Name: Leveraging Open Source Tools in ML
Uploaded: 2022-12-22

Posted Dec 22, 2022 | Views 529

# Geofences at Scale

# Spot EC2

# project44

# Cars.com

# Toast Inc

speakers

Stephanie Kirmer

Staff Data Scientist @ project44

Stephanie is a Staff Data Scientist at project44, the leading visibility and analytics platform provider for shipping and logistics. She has a decade of applied data science and data engineering experience in a number of industries, including hospitality/travel, IOT, software, and academia. In her current role, she is the technical lead for data science for the Over the Road sector, which includes trucking both in the US and globally. Before becoming a data scientist, she worked in academia and taught sociology and health policy at DePaul University. To learn more, visit www.stephaniekirmer.com.

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Nikhil Patel

Data Infrastructure Manager @ Cars.com

Started at Cars.com as a Hadoop Admin in April 2016 Been a manager of the Data Infrastructure team since April 2020 Open sourced car-forge in Sept 2022

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SUMMARY

Setting Healthy Boundaries: Generating Geofences at Scale with Machine Learning Stephanie describes how project44 developed a new technique for generating geofences for customer facilities using historical data combined with machine learning. The audience learns how Stephanie and her team did it, including the pitfalls of deploying a product like this to production. She makes a special point to discuss the varied open source tools the team used including DBSCAN, Dask, geopandas, folium, Airflow, and more.

Cars-Forge: Spot EC2s Made Easy Nikhil showcases 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 also previews Skelebot, a command-line tool for developing ML projects and executing them in docker.

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