Come dive into one of the curiously delightful conversations overheard at National Geographic’s headquarters, as we follow explorers, photographers, and scientists to the edges of our big, weird, beautiful world. Hosted by Peter Gwin and Amy Briggs.
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Indhold leveret af Miklos Toth and Miklos Zoltan Toth. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Miklos Toth and Miklos Zoltan Toth eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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Machine Learning Cafe
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Indhold leveret af Miklos Toth and Miklos Zoltan Toth. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Miklos Toth and Miklos Zoltan Toth eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
This is a machine-learning-focused Podcast, where we interview people in the field of Artificial Intelligence and discuss interesting technical topics of Machine Learning. In the episodes, we focus on business-related use-cases (especially with Deep Learning ) and we also try to bring some technical white papers to the ground, not forgetting on the way that there are always some people behind the technology, so we try to understand their motivation and drive.
…
continue reading
16 episoder
Marker alle som (u)afspillede ...
Serier hjem•Feed
Manage series 2833341
Indhold leveret af Miklos Toth and Miklos Zoltan Toth. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Miklos Toth and Miklos Zoltan Toth eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
This is a machine-learning-focused Podcast, where we interview people in the field of Artificial Intelligence and discuss interesting technical topics of Machine Learning. In the episodes, we focus on business-related use-cases (especially with Deep Learning ) and we also try to bring some technical white papers to the ground, not forgetting on the way that there are always some people behind the technology, so we try to understand their motivation and drive.
…
continue reading
16 episoder
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