Jon Loyens gave a good overview and demonstration of data.world.
Jeff Jenkins gave a good overview on machine learning, especially unsupervised learning. (I liked his chess movie analogies, especially the message “Don’t be afraid to bring your queen out early.”)
Jesse Sampson gave a good talk and demonstration of predictive analytics providing real business value.
Emily Bartha gave an encouraging lesson on how to create your first R package (theoretically in only one line of code.)
Jennifer Davis gave a entertaining presentation on machine learning.
Thanks to data.world for hosting us, and all the sponsors (R Studio, Continuum, Bamboo, data.world) for feeding us.