Interviews with mathematics education researchers about recent studies. Hosted by Samuel Otten, University of Missouri. www.mathedpodcast.com Produced by Fibre Studios
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AI Winter (Ale)
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Manage episode 206993299 series 1291751
Innhold levert av PhDrinking. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av PhDrinking 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.
Machine learning is quite a hot-topic of research right now, with many different offshoots linking it to other fields of research. Scott Cambo, today's guest, studies the intersection of machine learning and human-computer interaction. In particular, he's interested in how mobile self-tracking (think FitBit) user design can increase healthy behaviors and how those apps can use better machine learning algorithms to provide more useful feedback. Suggested Reading: Course Scott is putting together on Human-Centered Machine Learning: https://scottofthescience.github.io/hcml_course/ The website for Northwestern's AI Journal Club: https://aijcnu.github.io/ Scott's lab (CollabLab): http://collablab.northwestern.edu/ Follow me: PhDrinking@gmail.com, @PhDrinking, @SadieWit, www.facebook.com/PhDrinking/ Follow Scott Cambo: @scottOfTheSci , www.ScottAllenCambo.com Thanks to www.bensound.com/ for the intro/outro Thanks to @TylerDamme for audio editing
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92 episoder
MP3•Episoder hjem
Manage episode 206993299 series 1291751
Innhold levert av PhDrinking. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av PhDrinking 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.
Machine learning is quite a hot-topic of research right now, with many different offshoots linking it to other fields of research. Scott Cambo, today's guest, studies the intersection of machine learning and human-computer interaction. In particular, he's interested in how mobile self-tracking (think FitBit) user design can increase healthy behaviors and how those apps can use better machine learning algorithms to provide more useful feedback. Suggested Reading: Course Scott is putting together on Human-Centered Machine Learning: https://scottofthescience.github.io/hcml_course/ The website for Northwestern's AI Journal Club: https://aijcnu.github.io/ Scott's lab (CollabLab): http://collablab.northwestern.edu/ Follow me: PhDrinking@gmail.com, @PhDrinking, @SadieWit, www.facebook.com/PhDrinking/ Follow Scott Cambo: @scottOfTheSci , www.ScottAllenCambo.com Thanks to www.bensound.com/ for the intro/outro Thanks to @TylerDamme for audio editing
…
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92 episoder
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