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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 151 - The Pivotal Year 2020
Dec 28

Dec 28 Episode 151 - The Pivotal Year 2020

Max Sklar
Cohost Discussion
Episode 150 - City Living, Waymo Driving, Protein Folding, and Bitcoin Popping
Dec 21

Dec 21 Episode 150 - City Living, Waymo Driving, Protein Folding, and Bitcoin Popping

Max Sklar
Solo Show
Episode 149 - Chaos at Google, Woke AI, Ethics, and Ultimatums
Dec 14

Dec 14 Episode 149 - Chaos at Google, Woke AI, Ethics, and Ultimatums

Max Sklar
Guest Interview
Episode 148 - Explaining AI, Decision Science, and Augmented Intelligence with Lisa Palmer
Dec 7

Dec 7 Episode 148 - Explaining AI, Decision Science, and Augmented Intelligence with Lisa Palmer

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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