BIDS Data Science Lecture Series | October 23, 2015 | 1:00-2:30 p.m. | 190 Doe Library, UC Berkeley
Sponsors: Berkeley Institute for Data Science and the Data, Society and Inference Seminar
In this talk, I will share some stories from my years of consulting and advising around data products, highlighting cases where real-world constraints led to a surprising result or creative solution. While reflecting on my biased sample of cases, I may also share, if I’m feeling bold, some of the mistakes I’ve made along the way. To illustrate some technical ideas more concretely while protecting clients, I will use some simplified or toy examples. Participation and questions encouraged.