ML Project Tracking and Monitoring with MLFlow

We are excited to announce our second 2020 ONLINE MEETUP!

Please join us as we share experiences with other professionals that are passionate about how data science should drive good business and great business outcomes.

REGISTER HERE:
https://us02web.zoom.us/webinar/register/8115917337147/WN_sGwvtab8QH2EEi19oBb3bA

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SPEAKER
Alex Tianchu Liang - Software Engineer II at Microsoft
https://www.linkedin.com/in/alex-tianchu-liang/

Alex Liang is a Machine Learning enthusiast and software engineer. He previously worked in data science at American Tire Distributors, Red Ventures, and recently joined Microsoft, in Redmond WA as a software engineer.
In his spare time, he likes to contribute to open-source, cook, and run.

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TOPIC:
Machine Learning Project Tracking and Monitoring with MLFlow

ABSTRACT:

Part of being a Data Scientist or Machine Learning practitioner is exploring your data and setting up many experiments/ML modeling pipelines.
Before you know it, you will likely lose track of what parameters produced better models, or when a particular pipeline failed at what step, etc.
One way to avoid all the confusion, is to monitor and track your ML pipelines.
In this talk, Alex will go through a demo of MLFlow, an easy to use open-source platform for ML tracking and monitoring.

Agenda

11.00 - 11.05am [Introduction]
11.05 - 11.40am [Presentation]
11.40 - 12.00pm [Q&A]