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Cows, Camels, and the Human Brain - ML 182

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Manage episode 460488702 series 2977446
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms are getting scary good at emulating the human brain these days.
In This Episode
Why Facebook’s new research is VERY exciting for AI learning and causality (but what does it have to do with cows and camels?)
The answer to “Is predictive or causal modeling more accurate?” (and why it’s not the best question to ask)
Not sure if you need machine learning or just plain data modeling? Michael lays it out for you
What algorithms are learning about human behavior to accurately emulate the human brain in 2022 and beyond
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
  continue reading

209 episodes

Artwork
iconShare
 
Manage episode 460488702 series 2977446
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms are getting scary good at emulating the human brain these days.
In This Episode
Why Facebook’s new research is VERY exciting for AI learning and causality (but what does it have to do with cows and camels?)
The answer to “Is predictive or causal modeling more accurate?” (and why it’s not the best question to ask)
Not sure if you need machine learning or just plain data modeling? Michael lays it out for you
What algorithms are learning about human behavior to accurately emulate the human brain in 2022 and beyond
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
  continue reading

209 episodes

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