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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 103 - Dave Rubin on Launching Locals and Taking Power back from Big Tech
Jan 27

Jan 27 Episode 103 - Dave Rubin on Launching Locals and Taking Power back from Big Tech

Max Sklar
Guest Interview
Episode 102 - Logical Induction, Building Ordinals, and Compounding Errors
Jan 20

Jan 20 Episode 102 - Logical Induction, Building Ordinals, and Compounding Errors

Max Sklar
Solo Show
Episode 101 - Robots Taking All Our Jobs? Antony Sammeroff’s Rebuttal
Jan 13

Jan 13 Episode 101 - Robots Taking All Our Jobs? Antony Sammeroff’s Rebuttal

Max Sklar
Guest Interview
Episode 100 - Milestones, Questions, and Wisdom from the First Hundred Episodes
Jan 7

Jan 7 Episode 100 - Milestones, Questions, and Wisdom from the First Hundred Episodes

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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