MENU
Display of the training loss contour of the our newly developed stochastic gradient algorithm (Chao, Du, Wang, and Zhou, 2022) for deep learning on the CIFAR-10 around the minimal loss path (the white curve) between minimizers found by the SGD and the algorithm we propose to use.
Display of the training loss contour of the our newly developed stochastic gradient algorithm for deep learning on the CIFAR-10 around the minimal loss path (the white curve) between minimizers found by the SGD and the algorithm we propose to use. Chao, Du, Wang, and Zhou, (Statistics, www.stat.colostate.edu/~riczw)

Big data is at the heart of every industry – and Data Science is here to make sense of all the numbers.

By combining Computer Science, Mathematics, Statistics, and Economics students and faculty in the Data Science program tackle big data sets and use scientific methods to analyze the information they hold.

Major in Data Science

News

Q&A with statistics alum Gabe Macklem

CSU Statistics alum Gabe Mackelm (’25) shares his experience at CSU and his passion for sports statistics.

Read more

Q&A with data science alum Austin Lackey

CNS Source sat down with Austin Lackey, a CSU alum (’24), to learn more about the CSU Data Science program.

Read more

Jobs

RSS CNS – Test Feed

Events

Events