Podcasts by Tic-Tac-Toe the Hard Way
A writer and a software engineer from Google's People + AI Research team explore the human choices that shape machine learning systems by building competing tic-tac-toe agents.
Further podcasts by People + AI Research
Podcast on the topic Technologie
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Lessons learned from 2020-07-22T11:58
What have we learned about machine learning and the human decisions that shape it? And is machine learning perhaps changing our minds about how the world outside of machine learning — also known...
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Head to Head: The Even Bigger ML Smackdown! from 2020-07-22T11:55
Yannick and David’s systems play against each other in 500 games. Who’s going to win? And what can we learn about how the ML may be working by thinking about the results?
Enter tic-tac-two from 2020-07-22T11:50
David’s variant of tic-tac-toe that we’re calling tic-tac-two is only slightly different but turns out to be far more complex. This requires rethinking what the ML system will need in order to l...
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Head to Head: the Big ML Smackdown! from 2020-07-22T11:45
David and Yannick’s tic-tac-toe ML agents face-off against each other in tic-tac-toe!
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Give that model a treat! : Reinforcement learning explained from 2020-07-22T11:35
Switching gears, we focus on how Yannick’s been training his model using reinforcement learning. He explains the differences from David’s supervised learning approach. We find out how his syste...
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Beating random: What it means to have trained a model from 2020-07-22T11:30
David did it! He trained a machine learning model to play tic-tac-toe! (Well, with lots of help from Yannick.) How did the whole training experience go? How do you tell how training went? How di...
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From tic-tac-toe moves to ML model from 2020-07-22T09:55
Once we have the data we need—thousands of sample games--how do we turn it into something the ML can train itself on? That means understanding how training works, and what a model is.
What does a tic-tac-toe board look like to machine learning? from 2020-07-22T09:38
How should David represent the data needed to train his machine learning system? What does a tic-tac-toe board “look” like to ML? Should he train it on games or on individual boards? How does th...
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Howdy, and the myth of “pouring in data” from 2020-07-21T17:05
Welcome to the podcast! We’re Yannick and David, a software engineer and a non-technical writer. Over the next 9 episodes we’re going to use two different approaches to build machine learning sy...
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Introducing Tic-Tac-Toe the Hard Way from 2020-07-21T16:57
Introducing the podcast where a writer and a software engineer explore the human choices that shape machine learning systems by building competing tic-tac-toe agents. Brought to you by Google's ...
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