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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 258 - Sports and AI: Jason Syversen Changing the Game with SportsVisio
Dec 28

Dec 28 Episode 258 - Sports and AI: Jason Syversen Changing the Game with SportsVisio

Max Sklar
Guest Interview
Episode 257 - Lessons from the Debate with Gene Epstein
Dec 20

Dec 20 Episode 257 - Lessons from the Debate with Gene Epstein

Max Sklar
Guest Interview
Episode 256 - The Broken World of Big Tech
Dec 14

Dec 14 Episode 256 - The Broken World of Big Tech

Max Sklar
Solo Show
Episode 255 - AI's Got Chat: The Rise of chatGPT
Dec 5

Dec 5 Episode 255 - AI's Got Chat: The Rise of chatGPT

Max Sklar
Cohost Discussion

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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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