HPC Monthly Workshop: Machine Learning and BIG DATA

January 29 & January 31, 2024

The Pittsburgh Supercomputing Center is pleased to present a Machine Learning and Big Data workshop, sponsored by ACCESS.

This workshop will focus on topics including big data analytics and machine learning with Spark, and deep  learning using Tensorflow.

PLEASE NOTE THAT THIS WORKSHOP RUNS MONDAY AND WEDNESDAY, THERE IS NO CLASS ON TUESDAY

This will be an IN PERSON event hosted by various satellite sites, there WILL NOT be a direct to desktop option for this event.  The satellite site list(subject to change) is as follows

  • Carnegie Mellon University (PSC)
  • University of Delaware
  • Georgia State University
  • Georgia Institute of Technology/SoX
  • University of Houston – Clear Lake
  • Iowa State University
  • Institute for Cyber-Enabled Research at Michigan State University
  • University of Notre Dame
  • National Center for Supercomputing Applications
  • Purdue University
  • Texas Tech University (Sold Out)
  • Tufts University
  • Yale Center for Research Computing

Registration

Interested applicants must first have an ACCESS ID.  If you do not have an ACCESS ID, please visit this page to create one:

ACCESS USER REGISTRATION

Once you have an ACCESS ID, please send email (indicating your ACCESS ID and which site you wish to attend) to Tom Maiden at tmaiden@psc.edu by Friday, January 26 at Noon Eastern time.

Classroom location and further details will be provided once your registration has been processed.  Thank you for your patience.

FAQ

 

Tentative Agenda

Monday, January 29
All times given are Eastern
11:00 Welcome
11:25 A Brief History of  Big Data
12:20 Intro to Spark
1:00 Lunch break
2:00 More Spark and Exercises
3:00 Intro to Machine Learning
5:00 Adjourn
Wednesday, January 31
All times given are Eastern
11:00 Machine Learning: Recommender System with Spark
1:00 Lunch break
2:00 Deep Learning with Tensorflow
5:00 Tying it All Together
5:30 Adjourn