393: The Importance of Keeping Science in Data Science episode artwork

EPISODE · Aug 19, 2020 · 1H 8M

393: The Importance of Keeping Science in Data Science

from Super Data Science: ML & AI Podcast with Jon Krohn · host Jon Krohn

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

Episode metadata supplied by the publisher feed · Published Aug 19, 2020

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This episode was published on August 19, 2020.

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