Howdy, And The Myth Of “pouring In Data” Tic-Tac-Toe The Hard Way podcast

Artwork

Tech Podcasting Education Rebecca Salois People AI Research Machine Learning Human Centered Reinforcement Learning Supervised Learning Tic-tac-toe Games Google

Innhold levert av Lucas Dixon and People + AI Research. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Lucas Dixon and People + AI Research eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Tic-Tac-Toe the Hard Way « »
Howdy, and the myth of “pouring in data”

4y ago 22:01

Del

MP3•Episoder hjem

Innhold levert av Lucas Dixon and People + AI Research. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Lucas Dixon and People + AI Research eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

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 systems that play two versions of tic-tac-toe. Building a machine learning app requires humans making a lot of decisions. We start by agreeing that David will use a “supervised learning” approach while Yannick will go with “reinforcement learning.”

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 episoder

#Tech #Podcasting Education #Rebecca Salois #People AI Research #Machine Learning #Human Centered #Reinforcement Learning #Supervised Learning #Tic-tac-toe #Games #Google

Artwork

Howdy, and the myth of “pouring in data”

Tic-Tac-Toe the Hard Way

published 4y ago

Del

MP3•Episoder hjem

Innhold levert av Lucas Dixon and People + AI Research. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Lucas Dixon and People + AI Research eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

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 systems that play two versions of tic-tac-toe. Building a machine learning app requires humans making a lot of decisions. We start by agreeing that David will use a “supervised learning” approach while Yannick will go with “reinforcement learning.”

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 episoder

#Tech #Podcasting Education #Rebecca Salois #People AI Research #Machine Learning #Human Centered #Reinforcement Learning #Supervised Learning #Tic-tac-toe #Games #Google

Alle episoder

×

Velkommen til Player FM!

Player FM scanner netter for høykvalitets podcaster som du kan nyte nå. Det er den beste podcastappen og fungerer på Android, iPhone og internett. Registrer deg for å synkronisere abonnement på flere enheter.

Lytt til 500+ tema