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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 7 - Dennis Crowley on Inspiration, Innovation, and Future Tech
Mar 27

Mar 27 Episode 7 - Dennis Crowley on Inspiration, Innovation, and Future Tech

Max Sklar
Guest Interview
Episode 6 - Facebook Data and the Election, Decentralization to the Rescue
Mar 20

Mar 20 Episode 6 - Facebook Data and the Election, Decentralization to the Rescue

Max Sklar
Solo Show
Episode 5 - Christian Lundkvist on Ethereum, Bitcoin, and Smart Contracts
Mar 13

Mar 13 Episode 5 - Christian Lundkvist on Ethereum, Bitcoin, and Smart Contracts

Max Sklar
Guest Interview
Episode 4 - Codebreaking, Bizarro Harry Potter, and the Proper Way to Gerrymander
Mar 6

Mar 6 Episode 4 - Codebreaking, Bizarro Harry Potter, and the Proper Way to Gerrymander

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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