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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 47 - Max on Stage with the Year in Review
Dec 31

Dec 31 Episode 47 - Max on Stage with the Year in Review

Max Sklar
Cohost Discussion
Episode 46 - The Audio Internet with Shani Offen
Dec 24

Dec 24 Episode 46 - The Audio Internet with Shani Offen

Max Sklar
Guest Interview
Episode 45 - Inside Google, Engineer Maryam Aly with a Comprehensive Account
Dec 17

Dec 17 Episode 45 - Inside Google, Engineer Maryam Aly with a Comprehensive Account

Max Sklar
Guest Interview
Episode 44 - Ranking Foursquare Tips with Enrique Cruz
Dec 10

Dec 10 Episode 44 - Ranking Foursquare Tips with Enrique Cruz

Max Sklar
Guest Interview
Episode 43 - Self Driving Cars and the Cycle of Adoption
Dec 3

Dec 3 Episode 43 - Self Driving Cars and the Cycle of Adoption

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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