Podcast: You’re Probably Overthinking It — Demystifying Data with Allen Downey
Learn about cutting-edge developments in AI and Data Science from the experts who know them best on ODSC’s Ai X Podcast. Each week we release an interview with a leading expert, core contributor, experienced practitioner, or acclaimed instructor who is helping to shape the future of the AI industry through their work or research.
In this episode, Allen Downey, PhD, experienced instructor, an expert in Data Science and Bayesian Statistics, and author of the book “Probably Overthinking It,” will take you on an exploration of surprising statistical phenomena and how they’re related to real-life common mistakes like the base rate fallacy, length-biased sampling, and Simpson’s paradox.
In the interview, we discuss his book, “Probably Overthinking It,” which “uses data visualizations instead of equations to build understanding from the basics to help you recognize errors, whether in your own thinking or in media reports.”
We also discuss a number of common data interpretation issues, such as paradoxes, bias sampling, and causation, collision, and confusion.
Start listening now to explore data bias and how to better interpret data visualization in this podcast with Allen Downey. And don’t forget to subscribe to ODSC’s Ai X Podcast to ensure you never miss an episode. Finally, like what you hear? Leave a review or share it with a friend! You can listen on Spotify, Apple, and SoundCloud.
Originally posted on OpenDataScience.com
Read more data science articles on OpenDataScience.com, including tutorials and guides from beginner to advanced levels! Subscribe to our weekly newsletter here and receive the latest news every Thursday. You can also get data science training on-demand wherever you are with our Ai+ Training platform. Interested in attending an ODSC event? Learn more about our upcoming events here.
