315: Making Data Accessible - Super Data Science: ML & AI...

What this episode covers

Back by popular demand is Gabriela de Queiroz to discuss various data accessibility issues and how her work, talks, and organizations are working to make data science and AI more available across the board. In this episode you will learn: What’s new with Gabriela [7:14] How does Gabriela find the time? [10:50] Gabriela at DSGO [16:45] IBM’s Data Asset Exchange [27:48] What is Docker? [44:32] Gabriela’s code background & team [46:34] R-Ladies [54:50] Additional materials: www.superdatascience.com/315

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Frequently Asked Questions

How long is this episode of Super Data Science: ML & AI Podcast with Jon Krohn?

This episode is 1 hour and 13 minutes long.

When was this Super Data Science: ML & AI Podcast with Jon Krohn episode published?

This episode was published on November 21, 2019.

What is this episode about?

Back by popular demand is Gabriela de Queiroz to discuss various data accessibility issues and how her work, talks, and organizations are working to make data science and AI more available across the board. In this episode you will learn: What’s...

Can I download this Super Data Science: ML & AI Podcast with Jon Krohn episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.