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UID:f049d097-3dea-4ccd-9629-0390b1925834@support.access-ci.org
DTSTAMP:20260917T104614Z
DTSTART:20261013T150000Z
DTEND:20261014T213000Z
SUMMARY:PSC Machine Learning and BIG DATA Workshop - October 13-14, 2026
DESCRIPTION:HPC Monthly Workshop: Machine Learning and BIG DATAOctober 13-1
 4, 2026The Pittsburgh Supercomputing Center is pleased to present a Machin
 e Learning and Big Data workshop.This workshop will focus on topics includ
 ing big data analytics and machine learning with Spark, as well as deep
  learning.This will be an IN PERSON event hosted by various satellite site
 s, there WILL NOT be a direct to desktop option for this event.This event 
 is sponsored by the National Science Foundation, there is NO REGISTRATION 
 FEE to attend.RegistrationInterested applicants must first have an ACCESS 
 ID.  If you do not have an ACCESS ID, please visit this page to create on
 e:ACCESS USER REGISTRATIONOnce you have an ACCESS ID, please first Login, 
 then complete one of the following registration pages by Monday, October 1
 2 at 11AM Eastern time:ONCE YOU HAVE LOGGED INTO ACCESS, please click on t
 he site below that you wish to attend and you will be directed to the ACCE
 SS registration system:University of ArizonaCarnegie Mellon University (PS
 C)University of Central FloridaGeorgia Institute of TechnologyUniversity o
 f Houston – Clear LakeJet Propulsion Laboratory – NASA (Not Open To Pu
 blic)University of MichiganNational Center for Supercomputing Applications
 University of South Carolina Research Computing and Big Data Health Scienc
 e CenterStony Brook University/IACSTexas Tech UniversityUniversity of Utah
 West Virginia UniversityTentative AgendaTuesday, October 13All times given
  are Eastern11:00Welcome11:25A Brief History of  Big Data12:20Intro to Sp
 ark1:00Lunch break2:00More Spark and Exercises3:00Intro to Machine Learnin
 g5:00AdjournWednesday, October 14All times given are Eastern11:00Machine L
 earning: Recommender System with Spark1:00Lunch break2:00Deep Learning wit
 h Tensorflow5:00Tying it All Together5:30Adjourn
URL:https://support.access-ci.org/events/9327
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