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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 263 - Relative Probability
Jan 30

Jan 30 Episode 263 - Relative Probability

Max Sklar
Cohost Discussion
Episode 262 - Category Theory, Google Responds, and Another Covid Retro
Jan 24

Jan 24 Episode 262 - Category Theory, Google Responds, and Another Covid Retro

Max Sklar
Solo Show
Episode 261 - Generative AI's Grand Entrance
Jan 17

Jan 17 Episode 261 - Generative AI's Grand Entrance

Max Sklar
Solo Show
Episode 260 - New Year Predictions: Generative AI, Self Driving Cars, and Web3
Jan 10

Jan 10 Episode 260 - New Year Predictions: Generative AI, Self Driving Cars, and Web3

Max Sklar
Cohost Discussion
Episode 259 - New Years Thoughts
Jan 2

Jan 2 Episode 259 - New Years Thoughts

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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