Discussion on Python application for model evaluation and bias assessment in data science, and an ad for 'Code Comments' podcast by Red Hat

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Exploring a Python application for evaluating data science models and detecting bias, along with a tool for testing and enhancing model reliability. Also covers an ad for the 'Code Comments' podcast by Red Hat focusing on tech professionals navigating complex technology changes.

I have a special episode for you this time around. We're coming to you live from PyCon 2024. I had the chance to sit down with some amazing people from the data science side of things: Jodie Burchell, Maria Jose Molina-Contreras, and Jessica Greene. We cover a whole set of recent topics from a data science perspective. Though we did have to cut the conversation a bit short as they were coming from and go to talks they were all giving but it was still a pretty deep conversation.

Episode sponsors

Sentry Error Monitoring, Code TALKPYTHON
Code Comments
Talk Python Courses

Links from the show

Jodie Burchell: @t_redactyl
Jessica Greene: linkedin.com
Maria Jose Molina-Contreras: linkedin.com

Talk Python's free Shiny course: talkpython.fm/shiny
Watch this episode on YouTube: youtube.com
Episode transcripts: talkpython.fm

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