Tools for Machine Learning Interactive Visualization

All, this is an online event: please register at zoom meeting: https://us02web.zoom.us/webinar/register/WN_PPe49bMxTOmLYTGWae3_7g

We are excited to introduce talks on visualization tools. I personally love both of projects (Facets + what-if and Streamlit).

Google PAIR
https://pair-code.github.io/facets/
https://pair-code.github.io/what-if-tool/

Streamlit
https://www.streamlit.io/

Agenda
12-- 12:05 pm Introduction
12:05pm -- 12:40 Talk 1 + QA (Google)
12:40 pm -- 1:15 pm Talk2 + QA (Streamlit)
1:30 pm event closed

Talk 1: Facets and the What-If Tool - ML model understanding through interactive visualizations.

Speaker: James Wexler (Google)

James Wexler is a software developer working on Google's People + AI Research initiative. He builds open-source tooling and conducts research to aid in the analysis of machine learning models and data to aid in analysis, debugging, and fairness investigations.

Talk 2 : Streamlit Components: Displaying complex JS and HTML components in Streamlit

Summary: In this talk, Randy will briefly discuss the goals of the Streamlit project, why Streamlit is the easiest way to create a data app for the PyData ecosystem, and how to extend Streamlit to include any JavaScript or HTML components as optional Python packages.

Speaker: Randy Zwitch (Streamlit)

Randy Zwitch is Head of Developer Relations at Streamlit. With broad industry experience in Energy, Digital Analytics, Banking, Telecommunications and Media, Randy brings a wealth of knowledge across verticals as well as an in-depth knowledge of open-source tools for analytics.