Data Science
Nicholas Branigan | Non-ergodicity and Simpson’s paradox in neural correlates
A Center for Neural Data Science Seminar Series
A Center for Neural Data Science Seminar Series
The two-year fellowship supports PhD researchers across law, medicine, physics, statistics, education, and engineering.
The two-year fellowship supports PhD researchers across law, medicine, physics, statistics, education, and engineering.
Bay Area Tech Economics Seminar with Rehan Khan, Snowflake
The Bay Area Tech Economics Seminar is for graduate-trained economists and other quantitative social scientists from academia, policy, or the private sector who are interested in the tech economy and methods for analyzing it, and in making connections with others in this broadly defined space.
The Bay Area Tech Economics Seminar is for graduate-trained economists and other quantitative social scientists from academia, policy, or the private sector who are interested in the tech economy and methods for analyzing it, and in making connections with others in this broadly defined space.
Podcast: CORES Director Russ Poldrack Discusses the Future of Neuroimaging
All Work Published on Data Science
Marlowe | AI + Data for Science with Anshul Kundaje
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Marlowe | AI + Data for Science with Dan Yamins
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Marlowe | AI + Data for Science with Dan Yamins
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
Emmanuel Candès
