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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 18 - AI Gone Psychopathic,  Embellishment vs Fact
Jun 12

Jun 12 Episode 18 - AI Gone Psychopathic, Embellishment vs Fact

Max Sklar
Cohost Discussion
Episode 17 - Comedy and Big Data Mixed Up with @robbiethefire
Jun 5

Jun 5 Episode 17 - Comedy and Big Data Mixed Up with @robbiethefire

Max Sklar
Guest Interview
Episode 16 - Overfitting Toddlers and Underfitting Curmudgeons
May 29

May 29 Episode 16 - Overfitting Toddlers and Underfitting Curmudgeons

Max Sklar
Cohost Discussion
Episode 15 - Poke, Chipotle, Green Needle: Data to Headline with @sarahspagnolo
May 22

May 22 Episode 15 - Poke, Chipotle, Green Needle: Data to Headline with @sarahspagnolo

Max Sklar
Guest Interview
Episode 14 - Robot Communism Sucks, and AI on line one
May 15

May 15 Episode 14 - Robot Communism Sucks, and AI on line one

Max Sklar
Cohost Discussion
Episode 13 - Applied Artificial Intelligence with @thinkmariya
May 8

May 8 Episode 13 - Applied Artificial Intelligence with @thinkmariya

Max Sklar
Guest Interview
Episode 12 - Virtual Friends and Enemies, Building Products that look out for us with Marissa Chacko
May 1

May 1 Episode 12 - Virtual Friends and Enemies, Building Products that look out for us with Marissa Chacko

Max Sklar
Guest Interview
Episode 11 - Max Speaks @ The Yale Computer Society
Apr 24

Apr 24 Episode 11 - Max Speaks @ The Yale Computer Society

Max Sklar
Recorded Talk
Episode 10 - Zuckerberg Testifies, The Great Moderation War Continues
Apr 24

Apr 24 Episode 10 - Zuckerberg Testifies, The Great Moderation War Continues

Max Sklar
Cohost Discussion
Episode 9 - Fixing Facebook and Lindy's Law
Apr 10

Apr 10 Episode 9 - Fixing Facebook and Lindy's Law

Max Sklar
Solo Show
Episode 8 - Bad Ideas, the Power of Suggestion, and Marsbot
Apr 3

Apr 3 Episode 8 - Bad Ideas, the Power of Suggestion, and Marsbot

Max Sklar
Cohost Discussion
Episode 7 - Dennis Crowley on Inspiration, Innovation, and Future Tech
Mar 27

Mar 27 Episode 7 - Dennis Crowley on Inspiration, Innovation, and Future Tech

Max Sklar
Guest Interview
Episode 6 - Facebook Data and the Election, Decentralization to the Rescue
Mar 20

Mar 20 Episode 6 - Facebook Data and the Election, Decentralization to the Rescue

Max Sklar
Solo Show
Episode 5 - Christian Lundkvist on Ethereum, Bitcoin, and Smart Contracts
Mar 13

Mar 13 Episode 5 - Christian Lundkvist on Ethereum, Bitcoin, and Smart Contracts

Max Sklar
Guest Interview
Episode 4 - Codebreaking, Bizarro Harry Potter, and the Proper Way to Gerrymander
Mar 6

Mar 6 Episode 4 - Codebreaking, Bizarro Harry Potter, and the Proper Way to Gerrymander

Max Sklar
Cohost Discussion
Episode 3 - Stephanie Yang on Foursquare's Rating System
Feb 27

Feb 27 Episode 3 - Stephanie Yang on Foursquare's Rating System

Max Sklar
Guest Interview
Episode 2 - Maryam Aly on Internationalization of Foursquare
Feb 20

Feb 20 Episode 2 - Maryam Aly on Internationalization of Foursquare

Max Sklar
Guest Interview
Episode 1 - Bayesian Analysis of the Hawaii Missile Scare
Feb 13

Feb 13 Episode 1 - Bayesian Analysis of the Hawaii Missile Scare

Max Sklar
Cohost Discussion
Episode 0 - The great beginning, and how to Update your Beliefs
Feb 6

Feb 6 Episode 0 - The great beginning, and how to Update your Beliefs

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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