Data Science Salon Podcast

Probabilistic Thinking with James "JD" Long


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In this episode, James and Q explore:

  • The ideas of risk and uncertainty.
  • What is "probabilistic thinking" and why is it important for data scientists?
  • The career progression of a data analyst, and what it means to develop statistical acumen.
  • Thinking in terms of distributions, and thinking in different moments of a distribution.
  • Seeing BI, AI, and simulation in terms of punctuation.  (No, seriously.)
  • How to bridge the gap into thinking probabilistically

And, just a reminder: James only speaks for himself in this episode and he does not represent his employer.Links mentioned during our discussion:

  • You can find James on Twitter at @cmastication and on LinkedIn at https://www.linkedin.com/in/jamesdlong/
  • R Cookbook, 2nd Edition (which James co-authored)
  • RenRe's open roles: https://bit.ly/renrejobs
  • Q's blog posts on "punctuation in data":  Periods and Question Marks (BI and AI), and  then Ellipses (simulation)

The list of books James mentioned:

  • Thinking in Bets (Annie Duke)
  • Fortune's Formula (Poundstone)
  • The Lady Tasting Tea (Salsburg)
  • Fooled by Randomness (Taleb)
...more
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