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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 77 - Competitive Foosball
Jul 29

Jul 29 Episode 77 - Competitive Foosball

Max Sklar
Guest Interview
Episode 76 - Bitcoin and Google Invade Politics
Jul 22

Jul 22 Episode 76 - Bitcoin and Google Invade Politics

Max Sklar
Cohost Discussion
Episode 75 - The Market Loves You: Jeffrey Tucker on the nature of Innovation
Jul 15

Jul 15 Episode 75 - The Market Loves You: Jeffrey Tucker on the nature of Innovation

Max Sklar
Guest Interview
Episode 74 - Gerrymander USA, The End of Civilization, and Monkey Business
Jul 8

Jul 8 Episode 74 - Gerrymander USA, The End of Civilization, and Monkey Business

Max Sklar
Cohost Discussion
Episode 73 - Talking Python with Michael Kennedy
Jul 1

Jul 1 Episode 73 - Talking Python with Michael Kennedy

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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