Description

Continuing the theme from Episode 9, we closely examine:

1. how machine learning works,
2. how our subconsciouses—both individual and collective—learn from the past, making ad hoc categories based on contingencies,
3. how those categories are the origin of basically all of the things that populate the world,
4. how technologies that use augmented versions of our own rational capacities are quickly altering baseball, and rendering it nearly unrecognizable in the process!

Our guests are:

• Ben Lindbergh, staff writer at The Ringer, co-host of both Effectively Wild: A FanGraphs Baseball Podcast and the Ringer MLB Podcast
• Prof. Dr. Heiko Becher, director of the Institute of Medical Biometry and Epidemiology, Medical Faculty, University of Hamburg
• Adam Darowski, creator of the Hall of Stats, a website dedicated to repopulating the Hall of Fame using a statistical formula

Here is a link to Ben Shaver's intuitive medium.com article on MCMC methods which we reference in the episode. 

See acast.com/privacy for privacy and opt-out information.