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This serves as a quick cheat-sheet for solving small Bayesian problems using a table.

Based in Sydney, Australia, Foundry is a blog by Rebecca Thao. Her posts explore modern architecture through photos and quotes by influential architects, engineers, and artists.
The Local Maximum Expand Your Perspective
Episode 219 - Artificial Intelligence for Construction with René Morkos
Mar 28

Mar 28 Episode 219 - Artificial Intelligence for Construction with René Morkos

Max Sklar
Guest Interview
Episode 218 - Sampling Bias Correction
Mar 21

Mar 21 Episode 218 - Sampling Bias Correction

Max Sklar
Cohost Discussion
Episode 217 - Voices From Ukraine
Mar 14

Mar 14 Episode 217 - Voices From Ukraine

Max Sklar
Call In Show
Episode 216 - Corona-Fascism with Alu Axelman
Mar 7

Mar 7 Episode 216 - Corona-Fascism with Alu Axelman

Max Sklar
Guest Interview
Episode 215 - Polina Shevchenko: Growing up in Donetsk
Mar 3

Mar 3 Episode 215 - Polina Shevchenko: Growing up in Donetsk

Max Sklar
Guest Interview

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Subscribe on iTunes | Soundcloud | Stitcher | Odysee | Locals

Get Max's Free Cheat-Sheet on Bayesian Inference

Just sign up for the email list to keep up with exciting developments, floating ideas, and new projects from Max and his guests.

Thank you for joining The Local Maximum email list!

Download your free Bayesian Inference Page

This serves as a quick cheat-sheet for solving small Bayesian problems using a table.

The “Local Maximum” is a mathematical term referring to a point at which one needs to step down in order to reach new heights. But people - not just points - can get caught in a local maximum. That's what happens when we've gone as far as we can through one strategy which has gone stale and need to search for new ideas. This podcast is about examining technology, engineering, and social trends by expanding perspectives and moving beyond the Local Maximum both for ourselves and our algorithms.

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