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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
  • Max Sklar
    • Aug 25, 2022 What is a probability distribution?
    • Dec 24, 2020 What is a magnitude space?
    • Nov 28, 2020 How can there be a fraction of a bit?
    • Nov 27, 2020 What is a bit?
    • Nov 24, 2020 What is an argument from analogy?
    • Nov 23, 2020 What is the regularity assumption?
    • Oct 28, 2020 What is Occam's Razor?
    • Sep 9, 2020 What is a probability simplex?
    • Sep 5, 2020 What is a categorical distribution?
    • Aug 28, 2020 What is topology?
    • Aug 24, 2020 What is machine learning?
    • Aug 24, 2020 What is underfitting?
    • Aug 18, 2020 What is overfitting?
    • Aug 13, 2020 What is a mathematical space?
    • Aug 10, 2020 What is a hill climbing algorithm?
    • Aug 6, 2020 What is a local maximum?

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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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