253: Solving Problems With Data Science & Uber

In this episode of the SuperDataScience Podcast, I chat with Associate Professor at the University of California San Diego, Bradley Voytek, who was the first data scientist, and the person to kickstart data science at Uber. You will hear a lot about his past work at Uber and his current work at UCSD. You will learn 4 valuable philosophical points about data science being a separate field and you will also learn what data science skills can help you resist automation.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "253: Solving Problems With Data Science & Uber" was published on April 17, 2019 and runs 74 minutes.

April 17, 2019 ·74m · Super Data Science: ML & AI Podcast with Jon Krohn

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Summary

In this episode of the SuperDataScience Podcast, I chat with Associate Professor at the University of California San Diego, Bradley Voytek, who was the first data scientist, and the person to kickstart data science at Uber. You will hear a lot about his past work at Uber and his current work at UCSD. You will learn 4 valuable philosophical points about data science being a separate field and you will also learn what data science skills can help you resist automation. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/253

Episode Description

In this episode of the SuperDataScience Podcast, I chat with Associate Professor at the University of California San Diego, Bradley Voytek, who was the first data scientist, and the person to kickstart data science at Uber. You will hear a lot about his past work at Uber and his current work at UCSD. You will learn 4 valuable philosophical points about data science being a separate field and you will also learn what data science skills can help you resist automation. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/253

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