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From tic-tac-toe moves to ML model

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Manage episode 268430158 series 2770146
Content provided by Lucas Dixon and People + AI Research. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lucas Dixon and People + AI Research 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://player.fm/legal.

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.

Resources:
See a definition of one-hot encoding

For more information about the show, check out pair.withgoogle.com/thehardway.

You can reach out to the hosts on Twitter: @dweinberger and @tafsiri.

  continue reading

10 episodes

Artwork
iconShare
 
Manage episode 268430158 series 2770146
Content provided by Lucas Dixon and People + AI Research. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lucas Dixon and People + AI Research 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://player.fm/legal.

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.

Resources:
See a definition of one-hot encoding

For more information about the show, check out pair.withgoogle.com/thehardway.

You can reach out to the hosts on Twitter: @dweinberger and @tafsiri.

  continue reading

10 episodes

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