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Artificial Intelligence II 2018 (Audio)
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Indhold leveret af FAU and Prof. Dr. Michael Kohlhase. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af FAU and Prof. Dr. Michael Kohlhase 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 course covers the foundations of Artificial Intelligence (AI), in particular reasoning under uncertainty, machine learning and (if there is time) natural language understanding. This course builds on the course Artificial Intelligence I from the preceding winter semester and continues it Learning Goals and Competencies Technical, Learning, and Method Competencies Knowledge: The students learn foundational representations and algorithms in AI. Application: The concepts learned are applied to examples from the real world (homeworks ). Analysis: By modeling human cognitive abilities, students learn to assess and understand human intelligence better.
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