EPISODE · May 28, 2018 · 38 MIN
AI Winter (Ale)
from PhDrinking · host PhDrinking
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: [email protected], @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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AI Winter (Ale)
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