CSCAR is offering an upcoming workshop on Python. Registration is not required. Python Regression Workshop June 11-12 2-4 p.m. each day 4th Floor East Conference Room, Rackham Building The workshop will focus on the use of Python and the Statsmodels library for...
If you are interested in learning how to operate the Community Earth System Model (CESM) global climate modeling system using U-M computing resources, please consider attending an upcoming interactive tutorial: Time/Date/Location: 1:30 – 3:30 p.m., Wednesday,...
XSEDE, along with the Pittsburgh Supercomputing Center and the National Center for Supercomputing Applications at the University of Illinois will be presenting a Hybrid Computing workshop. This 4 day event will include MPI, OpenMP, OpenACC and accelerators and run...
The XSEDE new user training is a 90 minute webinar providing general overview and reference information for first-time users of XSEDE resources at any of XSEDE’s service providers. This session is particularly targeted at users who have just received their first...
XSEDE along with the Pittsburgh Supercomputing Center are pleased to announce a one day Big Data workshop, to be held April 7, 2015.This workshop will focus on topics such as Hadoop and Spark. Please bring your laptop to work on the exercises. Access accounts will be...
U-M is hosting a telecast of an upcoming training workshop on MPI programming sponsored by XSEDE along with the Pittsburgh Supercomputing Center and the National Center for Supercomputing Applications. The two-day MPI workshop will be held March 4-5, 2015. The U-M...
CSCAR will offer a workshop on data management in Python on February 10, 11, and 12 from 4-6 p.m. each day, in the Rackham common room (Rackham Building lower level west). The workshop will focus on using core Python, numpy, and Pandas to manage and process data sets....
CSCAR will offer a two-part workshop on regression modeling in Python. The main focus will be on linear models and generalized linear models (logistic, Poisson, and negative binomial regression). The statistical background will be reviewed briefly, but the main...