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
