315: Making Data Accessible

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.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "315: Making Data Accessible" was published on November 21, 2019 and runs 73 minutes.

November 21, 2019 ·73m · Super Data Science: ML & AI Podcast with Jon Krohn

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Summary

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

Episode Description

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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