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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 59 - Internet in Cuba, Bitcoin in Venezuela
Mar 25

Mar 25 Episode 59 - Internet in Cuba, Bitcoin in Venezuela

Max Sklar
Cohost Discussion
Episode 58 - Using Reflection from Media to Engineering with Mark Weiss
Mar 18

Mar 18 Episode 58 - Using Reflection from Media to Engineering with Mark Weiss

Max Sklar
Guest Interview
Episode 57 - Data Science, Analogies, and Nearest Neighbors
Mar 11

Mar 11 Episode 57 - Data Science, Analogies, and Nearest Neighbors

Max Sklar
Solo Show
Episode 56 - True News, Fake Faces, and Adversarial Algorithms
Mar 4

Mar 4 Episode 56 - True News, Fake Faces, and Adversarial Algorithms

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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