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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 298 - Veto Powers, Programming Languages, and Terminals
Oct 3

Oct 3 Episode 298 - Veto Powers, Programming Languages, and Terminals

Max Sklar
Cohost Discussion
Episode 297 - Stephan Kinsella: The Fallacy of Intellectual Property
Sep 27

Sep 27 Episode 297 - Stephan Kinsella: The Fallacy of Intellectual Property

Max Sklar
Guest Interview
Episode 296 - Government vs Google and Amazon Anti-Trust
Sep 19

Sep 19 Episode 296 - Government vs Google and Amazon Anti-Trust

Max Sklar
Guest Interview
Episode 295 - Rewriting the Constitution: Did the Founders Screw up the Senate
Sep 12

Sep 12 Episode 295 - Rewriting the Constitution: Did the Founders Screw up the Senate

Max Sklar
Cohost Discussion
Episode 294 - State Chains and Copyright Claims
Sep 7

Sep 7 Episode 294 - State Chains and Copyright Claims

Max Sklar
Solo Show
Episode 293 - Twitter Rants: Jon Stewart, Scrum, and Just Plain Numbers
Aug 29

Aug 29 Episode 293 - Twitter Rants: Jon Stewart, Scrum, and Just Plain Numbers

Max Sklar
Cohost Discussion
Episode 292 - Copyright Clashes, Literary Science, and Rational Distributions
Aug 22

Aug 22 Episode 292 - Copyright Clashes, Literary Science, and Rational Distributions

Max Sklar
Cohost Discussion
Episode 291 - Publishers vs Librarians, Artificial Digital Scarcity, and Revisiting Bertrand
Aug 17

Aug 17 Episode 291 - Publishers vs Librarians, Artificial Digital Scarcity, and Revisiting Bertrand

Max Sklar
Solo Show
Episode 290 - Generational Turnings versus Technological Change
Aug 9

Aug 9 Episode 290 - Generational Turnings versus Technological Change

Max Sklar
Cohost Discussion
Episode 289 - Revamping Dental Tech with Melissa LuVisi
Aug 2

Aug 2 Episode 289 - Revamping Dental Tech with Melissa LuVisi

Max Sklar
Guest Interview
Episode 288 - Is Artificial Intelligence a Threat to Humanity?
Jul 25

Jul 25 Episode 288 - Is Artificial Intelligence a Threat to Humanity?

Max Sklar
Cohost Discussion
Episode 287 - The Rise and Fall of ESG with Peter Earle
Jul 18

Jul 18 Episode 287 - The Rise and Fall of ESG with Peter Earle

Max Sklar
Guest Interview
Episode 286 - Consciousness Bets, Reverse Turing Tests, and Display Tech
Jul 11

Jul 11 Episode 286 - Consciousness Bets, Reverse Turing Tests, and Display Tech

Max Sklar
Solo Show
Episode 285 - Max Changes the Constitution Part III
Jul 3

Jul 3 Episode 285 - Max Changes the Constitution Part III

Max Sklar
Cohost Discussion
Episode 284 - Max Changes the Constitution Part II
Jun 27

Jun 27 Episode 284 - Max Changes the Constitution Part II

Max Sklar
Cohost Discussion
Episode 283 - Max Changes the Constitution, Part I
Jun 20

Jun 20 Episode 283 - Max Changes the Constitution, Part I

Max Sklar
Cohost Discussion
Episode 282 - Meganets with David Auerbach
Jun 12

Jun 12 Episode 282 - Meganets with David Auerbach

Max Sklar
Guest Interview
Episode 281 - The Mixed Reality Moment
Jun 7

Jun 7 Episode 281 - The Mixed Reality Moment

Max Sklar
Cohost Discussion
Episode 280 - How to Attack Truth Seeking
May 30

May 30 Episode 280 - How to Attack Truth Seeking

Max Sklar
Solo Show
Episode 279 - Covid and Civil Liberties
May 22

May 22 Episode 279 - Covid and Civil Liberties

Max Sklar
Cohost Discussion
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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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