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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 267 - Bernoulli's Fallacy with Aubrey Clayton
Feb 27

Feb 27 Episode 267 - Bernoulli's Fallacy with Aubrey Clayton

Max Sklar
Guest Interview
Episode 266 - Simplicity, Complexity, and Text Classification with Joel Grus
Feb 20

Feb 20 Episode 266 - Simplicity, Complexity, and Text Classification with Joel Grus

Max Sklar
Guest Interview
Episode 265 - The Multi-Armed Bandit
Feb 13

Feb 13 Episode 265 - The Multi-Armed Bandit

Max Sklar
Solo Show
Episode 264 - Talking Tik Tok, Privacy, and Propaganda with Adam Kovacevich
Feb 6

Feb 6 Episode 264 - Talking Tik Tok, Privacy, and Propaganda with Adam Kovacevich

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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