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Indhold leveret af Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff 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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Software Engineering for Machine Learning

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Manage episode 283346660 series 1264075
Indhold leveret af Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff 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.

In this webcast, Grace Lewis and Ipek Ozkaya provide perspectives involved in the development and operation of ML systems.

What attendees will learn:

• Perspectives involved in the development and operation of ML systems

• Types of mismatch that occur in the development of ML systems

• Future work in software engineering for ML systems

  continue reading

153 episoder

Artwork
iconDel
 
Manage episode 283346660 series 1264075
Indhold leveret af Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Carnegie Mellon University Software Engineering Institute and SEI Members of Technical Staff 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.

In this webcast, Grace Lewis and Ipek Ozkaya provide perspectives involved in the development and operation of ML systems.

What attendees will learn:

• Perspectives involved in the development and operation of ML systems

• Types of mismatch that occur in the development of ML systems

• Future work in software engineering for ML systems

  continue reading

153 episoder

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