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:
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 |
|
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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 |