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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
Web3 with Sam Kamani: Episode 98: Max Sklar--an Engineering and Innovations Export Uncovers AIs Untold Secrets-The Future of Code-The Quest for Machine Consciousness
Oct 11

Oct 11 Web3 with Sam Kamani: Episode 98: Max Sklar--an Engineering and Innovations Export Uncovers AIs Untold Secrets-The Future of Code-The Quest for Machine Consciousness

Max Sklar
Podcast
Transform NOW: Episode 241 - Interacting with AI From a Humans Perspective
Sep 14

Sep 14 Transform NOW: Episode 241 - Interacting with AI From a Humans Perspective

Max Sklar
Podcast
Mid-Atlantic: Exploring the Promise and Pitfalls of AI: A Conversation with Max Sklar
Sep 14

Sep 14 Mid-Atlantic: Exploring the Promise and Pitfalls of AI: A Conversation with Max Sklar

Max Sklar
Podcast
Data on the Rocks Episode 7: Location Data, Sentiment Analysis and Fake Listings
Aug 2

Aug 2 Data on the Rocks Episode 7: Location Data, Sentiment Analysis and Fake Listings

Max Sklar
Podcast
The Data Scientist Show with Daliana Liu
Sep 23

Sep 23 The Data Scientist Show with Daliana Liu

Max Sklar
Podcast
AI In Business - The Value of Location Data
Nov 3

Nov 3 AI In Business - The Value of Location Data

Max Sklar
Podcast
Building Tomorrow with Paul Matzko
Nov 1

Nov 1 Building Tomorrow with Paul Matzko

Max Sklar
Podcast
The Blockchain Show with Ethan Kinderknecht
Sep 10

Sep 10 The Blockchain Show with Ethan Kinderknecht

Max Sklar
Podcast
Data Crunch Podcast with Curtis Seare - Machine Learning
Sep 1

Sep 1 Data Crunch Podcast with Curtis Seare - Machine Learning

Max Sklar
Podcast
Hashing it Out Podcast, Episode 88
Aug 20

Aug 20 Hashing it Out Podcast, Episode 88

Max Sklar
Podcast
Listening Archive: Robots and Artificial intelligence for Google , Apple and beyond
Jul 12

Jul 12 Listening Archive: Robots and Artificial intelligence for Google , Apple and beyond

Max Sklar
Podcast
Programming Throwdown - Bayesian Thinking
Jun 28

Jun 28 Programming Throwdown - Bayesian Thinking

Max Sklar
Podcast
Tech Talks Daily Podcast: Machine Learning, Foursquare Labs, and More
May 11

May 11 Tech Talks Daily Podcast: Machine Learning, Foursquare Labs, and More

Max Sklar
Podcast
Data Futurology Podcast: Developing New Products Using Machine Learning
May 5

May 5 Data Futurology Podcast: Developing New Products Using Machine Learning

Max Sklar
Podcast
Artificially Intelligent Podcast: Covid-19 Location Data and More
Apr 19

Apr 19 Artificially Intelligent Podcast: Covid-19 Location Data and More

Max Sklar
Podcast
Machine Learning Cafe: Ratings and Attribution
Mar 9

Mar 9 Machine Learning Cafe: Ratings and Attribution

Max Sklar
Podcast
Learning Bayesian Statistics Podcast - Interview
Feb 4

Feb 4 Learning Bayesian Statistics Podcast - Interview

Max Sklar
Podcast
Lisa Wexler Show 25 Nov 2019: Witness to Yale-Harvard Climate Protest
Dec 1

Dec 1 Lisa Wexler Show 25 Nov 2019: Witness to Yale-Harvard Climate Protest

Max Sklar
Podcast
Talk Python To Me #239 - Bayesian Foundations
Dec 1

Dec 1 Talk Python To Me #239 - Bayesian Foundations

Max Sklar
Podcast
Python Bytes #135: Python Popularity for Data Science, and Some New Python Tricks
Jun 24

Jun 24 Python Bytes #135: Python Popularity for Data Science, and Some New Python Tricks

Max Sklar
Podcast
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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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