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UID:4713ca32-6198-4d6a-87a0-60ade0321631@support.access-ci.org
DTSTAMP:20250102T133942Z
DTSTART:20250114T190000Z
DTEND:20250114T203000Z
SUMMARY:Scalable Machine Learning (Advanced HPC-CI Webinar Series)
DESCRIPTION:This webinar is an introduction to performing machine learning 
 at scale. An overview of approaches for parallelizing R code on HPC will b
 e provided. We will also cover the essentials of Spark and demonstrate how
  to use Spark for large-scale data analytics and machine learning. Demonst
 rations will allow participants to gain practical guidance for building an
 d scaling machine learning workflows.InstructorsDr. Mai Nguyen, Lead for D
 ata Analytics, SDSCMai Nguyen has extensive industry and academic experien
 ce in machine learning, data mining, business intelligence, data warehousi
 ng, and software design & development. She is a data scientist at the San 
 Diego Supercomputer Center (SDSC) at the University of California, San Die
 go (UCSD), where she works on combining machine learning algorithms with d
 istributed computing to process large-scale data. She has worked in many a
 pplication areas, including remote sensing, personalized medicine, image a
 nalysis, and speech recognition. She has M.S. and Ph.D. degrees in Compute
 r Science from UCSD, with focus on machine learning and artificial intelli
 gence.Dr. Paul Rodriguez, Computational Data Scientist, SDSCPaul Rodriguez
  received his PhD in Cognitive Science at University of California, San Di
 ego (UCSD) in 1999. He spent several years doing research in neural networ
 k modeling, dynamical systems simulations, time series analysis, and stati
 stical methods for analysis and predictions in fMRI data. He has more rece
 ntly worked in data mining for health care fraud identification, and optim
 ization of data intensive network flow models.See a full list of SDSC's up
 coming training and events here.
URL:https://support.access-ci.org/events/7715
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