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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 198 - Passive Computing
Nov 13

Nov 13 Episode 198 - Passive Computing

Max Sklar
Cohost Discussion
Episode 197 - Industry Shifts with Meta, Rumble, and Locals
Nov 1

Nov 1 Episode 197 - Industry Shifts with Meta, Rumble, and Locals

Max Sklar
Solo Show
Episode 196 - Viking Tree Rings and the Prospects of a Trump Social
Oct 26

Oct 26 Episode 196 - Viking Tree Rings and the Prospects of a Trump Social

Max Sklar
Cohost Discussion
Episode 195 - Why We Sample
Oct 18

Oct 18 Episode 195 - Why We Sample

Max Sklar
Solo Show
Episode 194 - Steve Jobs
Oct 11

Oct 11 Episode 194 - Steve Jobs

Max Sklar
Cohost Discussion
Episode 193 - New Beginnings
Oct 4

Oct 4 Episode 193 - New Beginnings

Max Sklar
Cohost Discussion
Episode 192 - What is Intelligence
Sep 27

Sep 27 Episode 192 - What is Intelligence

Max Sklar
Solo Show
Episode 191 - Tracking Big Trends with Ed McCormack
Sep 20

Sep 20 Episode 191 - Tracking Big Trends with Ed McCormack

Max Sklar
Guest Interview
Episode 190 - Layers in Truth Seeking, Smart Toilets, and Set Theory Counting
Sep 13

Sep 13 Episode 190 - Layers in Truth Seeking, Smart Toilets, and Set Theory Counting

Max Sklar
Solo Show
Episode 189 - September 11th Recall Part II - Memories, Aftermath, Rebuilding
Sep 11

Sep 11 Episode 189 - September 11th Recall Part II - Memories, Aftermath, Rebuilding

Max Sklar
Cohost Discussion
 Episode 188 - September 11th Recall Part I - The Before Time
Sep 10

Sep 10 Episode 188 - September 11th Recall Part I - The Before Time

Max Sklar
Cohost Discussion
Episode 187 - Coding from Natural Language, NYT Tech Walkout, Off Predictions
Aug 30

Aug 30 Episode 187 - Coding from Natural Language, NYT Tech Walkout, Off Predictions

Max Sklar
Cohost Discussion
Episode 186 - Cubans embrace Bitcoin amidst Monetary Oppression, and the Last Jew in Afghanistan
Aug 23

Aug 23 Episode 186 - Cubans embrace Bitcoin amidst Monetary Oppression, and the Last Jew in Afghanistan

Max Sklar
Cohost Discussion
Episode 185 - Goldbacks in Your Pocket with Benjamin Shaffer
Aug 16

Aug 16 Episode 185 - Goldbacks in Your Pocket with Benjamin Shaffer

Max Sklar
Guest Interview
Episode 184 - Academic Freedom, Crypto Regs, and Security Devices
Aug 9

Aug 9 Episode 184 - Academic Freedom, Crypto Regs, and Security Devices

Max Sklar
Solo Show
Episode 183 - The Metaverse and Digits
Aug 2

Aug 2 Episode 183 - The Metaverse and Digits

Max Sklar
Cohost Discussion
Episode 182 - Focal Points and Written Constitutions
Jul 26

Jul 26 Episode 182 - Focal Points and Written Constitutions

Max Sklar
Solo Show
Episode 181 - Redacting your Secrets
Jul 19

Jul 19 Episode 181 - Redacting your Secrets

Max Sklar
Guest Interview
Episode 180 - Branson, Bezos, and Musk dash to Space
Jul 12

Jul 12 Episode 180 - Branson, Bezos, and Musk dash to Space

Max Sklar
Cohost Discussion
Episode 179 - New York attempts Ranked Choice Voting
Jul 5

Jul 5 Episode 179 - New York attempts Ranked Choice Voting

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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