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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 3 - Stephanie Yang on Foursquare's Rating System
Feb 27

Feb 27 Episode 3 - Stephanie Yang on Foursquare's Rating System

Max Sklar
Guest Interview
Episode 2 - Maryam Aly on Internationalization of Foursquare
Feb 20

Feb 20 Episode 2 - Maryam Aly on Internationalization of Foursquare

Max Sklar
Guest Interview
Episode 1 - Bayesian Analysis of the Hawaii Missile Scare
Feb 13

Feb 13 Episode 1 - Bayesian Analysis of the Hawaii Missile Scare

Max Sklar
Cohost Discussion
Episode 0 - The great beginning, and how to Update your Beliefs
Feb 6

Feb 6 Episode 0 - The great beginning, and how to Update your Beliefs

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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