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BDN #10: What Makes a Good Data Science Practice
  • 13/09/2019
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BDN #10: What Makes a Good Data Science Practice

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Descripción de BDN #10: What Makes a Good Data Science Practice

For our season 1 finale, Triveni and Will give their two cents on the most important aspects of a data science practice. From intentional data to getting outside perspectives, they walk us through how to build not only a scalable AI practice, but one that is responsible, ethical, and interpretable.
We’ll be back for Season 2 in October - but in case you miss us too much, be sure to subscribe to the Banana Data Newsletter, and rate our podcast!
Articles mentioned: 
Poor Quality Data, Fraud in GPS Signals Undermine Geotargeted Ad Campaigns by Nina Aghadjanian (A.list)
The Problem With Autonomous Cars That No One’s Talking About by Jasper Dekker (Fast Company)

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data data science data analytics interpretable AI data intentionality

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