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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 72 - Voting Power, Consortiums, and Facebook's Currency
Jun 24

Jun 24 Episode 72 - Voting Power, Consortiums, and Facebook's Currency

Max Sklar
Cohost Discussion
Episode 71 - Science and The City: From Urban Theory to Mobile Apps with Tassos Noulas
Jun 17

Jun 17 Episode 71 - Science and The City: From Urban Theory to Mobile Apps with Tassos Noulas

Max Sklar
Guest Interview
Episode 70 - Centralizers vs Extremists and an Ode to the Podoverse
Jun 10

Jun 10 Episode 70 - Centralizers vs Extremists and an Ode to the Podoverse

Max Sklar
Solo Show
Episode 69 - Apple Unbundles iTunes, Cuba Update, and Content Distribution in the 21st century
Jun 3

Jun 3 Episode 69 - Apple Unbundles iTunes, Cuba Update, and Content Distribution in the 21st century

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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