Massive Computational Experiments, Painlessly (STATS 285)

Stanford University, Fall 2017

Ambitious Data Science requires massive computational experimentation; the entry ticket for a solid PhD in some fields is now to conduct experiments involving 1 Million CPU hours. This course covers state-of-the-art practices for conducting massive computational experiments on the cloud in a pain-free and reproducible manner. In addition to giving students a hands-on experience with cluster computing, the course features several guest lectures by renowned scientists in the field of Data Science.