Probabilistic Thinking with James "JD" Long
Data Science Salon Podcast
English - October 26, 2022 18:10 - 1 hour - 70.5 MB - ★★★★★ - 3 ratingsTechnology Business Careers data science artificial intelligence big data data data scientist machine learning Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: The roles of economists in data science, with Dr. Amar Natt
Next Episode: Building data products with Solomon Kahn
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 probabilisticallyAnd, 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/renrejobsQ'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)