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Indhold leveret af Arcgate and Arcgate Inc. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Arcgate and Arcgate Inc 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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Big Data And Artificial Intelligence Need Each Other

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Manage episode 185452175 series 1465072
Indhold leveret af Arcgate and Arcgate Inc. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Arcgate and Arcgate Inc 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.
The common thread between artificial intelligence (AI) technologies and deep learning evolving today; is possible and fueled by big data and high-speed computing. The data itself is the star of the process and all AI technologies which are being built on. Since AI technologies are developed by feeding large amount of data and data-sets; its benefits can quickly fall apart if the data which is used to train the algorithms is not accurate.
  continue reading

19 episoder

Artwork
iconDel
 
Manage episode 185452175 series 1465072
Indhold leveret af Arcgate and Arcgate Inc. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Arcgate and Arcgate Inc 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.
The common thread between artificial intelligence (AI) technologies and deep learning evolving today; is possible and fueled by big data and high-speed computing. The data itself is the star of the process and all AI technologies which are being built on. Since AI technologies are developed by feeding large amount of data and data-sets; its benefits can quickly fall apart if the data which is used to train the algorithms is not accurate.
  continue reading

19 episoder

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