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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 112 - Naomi Brockwell on Coronavirus Coverage, Encryption Laws, and Internet Freedom
Mar 30

Mar 30 Episode 112 - Naomi Brockwell on Coronavirus Coverage, Encryption Laws, and Internet Freedom

Max Sklar
Guest Interview
Episode 111 - Covid Data Deluge, Zoombombing, and Wager Math
Mar 23

Mar 23 Episode 111 - Covid Data Deluge, Zoombombing, and Wager Math

Max Sklar
Solo Show
Episode 110 - Pandemic Update! Media Overload, Symptom Distribution, Estimating Fatality Rate
Mar 16

Mar 16 Episode 110 - Pandemic Update! Media Overload, Symptom Distribution, Estimating Fatality Rate

Max Sklar
Cohost Discussion
Episode 109 - Experimental Design with Adam Kapelner
Mar 9

Mar 9 Episode 109 - Experimental Design with Adam Kapelner

Max Sklar
Guest Interview
Episode 108 - What is Probability, Bloomberg vs Bernie on Boards, and Password Guessing
Mar 2

Mar 2 Episode 108 - What is Probability, Bloomberg vs Bernie on Boards, and Password Guessing

Max Sklar
Solo Show

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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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