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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 134 - AI Breakthrough & Understanding “Understanding”
Aug 31

Aug 31 Episode 134 - AI Breakthrough & Understanding “Understanding”

Max Sklar
Solo Show
Episode 133 - What Is the Point of Pointless Topology?
Aug 24

Aug 24 Episode 133 - What Is the Point of Pointless Topology?

Max Sklar
Cohost Discussion
Episode 132 - Podcasting, Politics & Porch Tours: Catching Up with Rob Bernstein
Aug 17

Aug 17 Episode 132 - Podcasting, Politics & Porch Tours: Catching Up with Rob Bernstein

Max Sklar
Guest Interview
Episode 131 - Rethinking Management Structures in the Remote Work Era with Jeff Meyerson
Aug 10

Aug 10 Episode 131 - Rethinking Management Structures in the Remote Work Era with Jeff Meyerson

Max Sklar
Guest Interview
Episode 130 - Walking on a Tightrope: How Politics Impacts the the Scientific Community
Aug 3

Aug 3 Episode 130 - Walking on a Tightrope: How Politics Impacts the the Scientific Community

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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