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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 158 - Live Free or Die
Feb 15

Feb 15 Episode 158 - Live Free or Die

Max Sklar
Cohost Discussion
Episode 157 - Financial Tsunami on the Horizon
Feb 8

Feb 8 Episode 157 - Financial Tsunami on the Horizon

Max Sklar
Cohost Discussion
Episode 156 - Machine Vision with Iain Smith
Feb 1

Feb 1 Episode 156 - Machine Vision with Iain Smith

Max Sklar
Guest Interview
Episode 155 - Why Oppose Censorship
Jan 25

Jan 25 Episode 155 - Why Oppose Censorship

Max Sklar
Solo Show
Episode 154 - Googlezon
Jan 18

Jan 18 Episode 154 - Googlezon

Max Sklar
Cohost Discussion
Episode 153 - Decentralizing Before our Eyes
Jan 11

Jan 11 Episode 153 - Decentralizing Before our Eyes

Max Sklar
Solo Show
Episode 152 - Computational Breakthroughs: Advances in Ramsey Theory and Quantum Computing
Jan 4

Jan 4 Episode 152 - Computational Breakthroughs: Advances in Ramsey Theory and Quantum Computing

Max Sklar
Cohost Discussion
Episode 151 - The Pivotal Year 2020
Dec 28

Dec 28 Episode 151 - The Pivotal Year 2020

Max Sklar
Cohost Discussion
Episode 150 - City Living, Waymo Driving, Protein Folding, and Bitcoin Popping
Dec 21

Dec 21 Episode 150 - City Living, Waymo Driving, Protein Folding, and Bitcoin Popping

Max Sklar
Solo Show
Episode 149 - Chaos at Google, Woke AI, Ethics, and Ultimatums
Dec 14

Dec 14 Episode 149 - Chaos at Google, Woke AI, Ethics, and Ultimatums

Max Sklar
Guest Interview
Episode 148 - Explaining AI, Decision Science, and Augmented Intelligence with Lisa Palmer
Dec 7

Dec 7 Episode 148 - Explaining AI, Decision Science, and Augmented Intelligence with Lisa Palmer

Max Sklar
Guest Interview
Episode 147 - Joining Locals, Media Decline, and Digital Detox
Nov 30

Nov 30 Episode 147 - Joining Locals, Media Decline, and Digital Detox

Max Sklar
Cohost Discussion
Episode 146 - Math, Language, and Intelligence with Tai-Danae Bradley
Nov 23

Nov 23 Episode 146 - Math, Language, and Intelligence with Tai-Danae Bradley

Max Sklar
Guest Interview
Episode 145 - What Is Probability? A Philosophical Question with Practical Implications
Nov 16

Nov 16 Episode 145 - What Is Probability? A Philosophical Question with Practical Implications

Max Sklar
Recorded Talk
Episode 144 - Brian Mac Mahon of Expert DOJO on Startups
Nov 9

Nov 9 Episode 144 - Brian Mac Mahon of Expert DOJO on Startups

Max Sklar
Guest Interview
Episode 143 - One Last Episode Before the US Presidential Election
Nov 2

Nov 2 Episode 143 - One Last Episode Before the US Presidential Election

Max Sklar
Cohost Discussion
Episode 142 - The Newest App for Augmented Reality from Foursquare, Marsbot for AirPods
Oct 26

Oct 26 Episode 142 - The Newest App for Augmented Reality from Foursquare, Marsbot for AirPods

Max Sklar
Cohost Discussion
Episode 141 - How Social Media Censorship Affects Your Election Information Diet
Oct 19

Oct 19 Episode 141 - How Social Media Censorship Affects Your Election Information Diet

Max Sklar
Solo Show
Episode 140 - Why the US Election Polls Are Tricky with Alex Andorra
Oct 12

Oct 12 Episode 140 - Why the US Election Polls Are Tricky with Alex Andorra

Max Sklar
Guest Interview
Episode 139 -  Coinbase Goes Apolitical, Libra Languishes, and Deepfakes Rise
Oct 5

Oct 5 Episode 139 - Coinbase Goes Apolitical, Libra Languishes, and Deepfakes Rise

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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