ITS-OTLT-Research Services is hosting a two-day intensive workshop (October 13&14) on Machine Learning and Big Data, led by Prof. John Urbanic from the Pittsburgh Supercomputing Center (PSC). The workshop will be held in a large room equipped with two-way video communication between participants and the instructor. Please note that all participants must attend in person at our campus satellite site, as there will be no option for individual remote participation via video call (e.g., Zoom). The RS staff will be on-site to assist with any technical issues and hands-on exercises throughout the workshop.
This workshop will cover big data analytics and machine learning with Spark, and deep learning using TensorFlow. For the hands-on exercises, all participants must have an ACCESS ID. If you do not already have one, you will be prompted to apply during registration. Once you create the ACCESS ID, please make sure to return to the registration page and complete your signup using the "University of Iowa" link.
With an ACCESS account, participants will receive temporary access to PSC’s Bridges-2 supercomputing facility for the exercises. In addition, participants will be able to continue practicing on the Argon cluster at the University of Iowa after the workshop.
You will receive a confirmation email once your registration is complete. Please ensure that you receive this confirmation. Without it, your registration may not be processed, and you won't receive further communications. If you have any questions about the registration, please contact Tom Maiden at PSC (tmaiden@psc.edu).
Prior coding and Linux experience is helpful but not critical to attend this workshop. Please bring your laptop and charging cable to stay connected during the workshop.
Note that the workshop will begin at 10 a.m. (CST) while it is listed in Eastern Time on the registration link below.
To register, please visit the link below and follow the guidelines.
If you need help or clarification, please feel free to contact the local organizer, Doosoo Yoon from Research Services ( doosoo-yoon@uiowa.edu ).