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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 55 - Bitwise: A Life in Code with author David Auerbach
Feb 25

Feb 25 Episode 55 - Bitwise: A Life in Code with author David Auerbach

Max Sklar
Guest Interview
Episode 54 - Five G and the AI-AR-VR Connection
Feb 18

Feb 18 Episode 54 - Five G and the AI-AR-VR Connection

Max Sklar
Cohost Discussion
Episode 53 - Live Behavioral Assessment Results with Swati Doshi
Feb 11

Feb 11 Episode 53 - Live Behavioral Assessment Results with Swati Doshi

Max Sklar
Guest Interview
Episode 52 - A Look Back at Foursquare, What's Next, and Superuser Shoutout
Feb 4

Feb 4 Episode 52 - A Look Back at Foursquare, What's Next, and Superuser Shoutout

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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