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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 29 - Bitcoin, Blockchain, and Decentralization with @clydevanel of the New York State Assembly
Aug 28

Aug 28 Episode 29 - Bitcoin, Blockchain, and Decentralization with @clydevanel of the New York State Assembly

Max Sklar
Guest Interview
Episode 28 - Alex Jones, Jack Dorsey, and the Censorious Social Media Reporters
Aug 22

Aug 22 Episode 28 - Alex Jones, Jack Dorsey, and the Censorious Social Media Reporters

Max Sklar
Cohost Discussion
Episode 27 - Big Algorithm, Fat Tails, and Converging Priors
Aug 17

Aug 17 Episode 27 - Big Algorithm, Fat Tails, and Converging Priors

Max Sklar
Cohost Discussion
Episode 26 - @chrismessina on Conversational Commerce, Relationship Design, and the Future of Brands
Aug 7

Aug 7 Episode 26 - @chrismessina on Conversational Commerce, Relationship Design, and the Future of Brands

Max Sklar
Guest Interview
Episode 25 - The Great Twitter Purge of 2018
Aug 4

Aug 4 Episode 25 - The Great Twitter Purge of 2018

Max Sklar
Solo Show

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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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