393: The Importance of Keeping Science in Data Science - podcast episode cover

393: The Importance of Keeping Science in Data Science

Aug 19, 20201 hr 8 min
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Episode description

John Peach joins to discuss his passion for bringing more scientific approaches to the data science field, making it smarter and more efficient. In this episode you will learn: John’s move from Canada to the US [3:37] John’s new position at Oracle [8:31] Data Science Workflows [9:34] John’s solution to data science workflow exploration [12:06] John’s data science design thinking framework [21:20] Case study [34:21] Literate statistical programming [43:12] R or Python? [51:55] Data unit testing [53:28] What drives John? [1:00:56] Additional materials: www.superdatascience.com/393
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393: The Importance of Keeping Science in Data Science | Super Data Science: ML & AI Podcast with Jon Krohn - Listen or read transcript on Metacast