—<\/p>\n
Free Registration (required)<\/a><\/strong><\/p>\n Tentative Agenda<\/p>\n Description: \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong>This workshop will introduce <\/strong>scalable data analytics<\/strong> and <\/strong>machine learning<\/strong>. <\/strong><\/p>\n It is a two-day, hands-on workshop using <\/strong>Hadoop<\/strong>, <\/strong>Spark<\/strong> and <\/strong>TensorFlow. <\/strong><\/p>\n No prerequisites, although some familiarity with Python would be helpful.<\/em><\/strong><\/p>\n When<\/strong>:\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Tuesday Feb 12th\u00a0<\/sup>and Wednesday Feb 13th\u00a0<\/sup>from 11 am to 5 pm.<\/p>\n Location<\/strong>:\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Teachers-Dyer Complex – CECH Library Room 320<\/p>\n 2610 McMicken Circle – Cincinnati\u00a0OH\u00a045221<\/p>\n Note<\/strong>:\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 You need an XSEDE account to register\u00a0Create Account<\/a><\/p>\n Parking<\/strong>:\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 CCM parking garage<\/a> or the Stratford Heights<\/a> parking garage<\/p>\n Special Instructions:<\/strong>\u00a0\u00a0 Participants should bring their own laptop, lunch will be provided.<\/p>\n Questions?<\/strong>\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Contact Amy Latessa\u00a0latessak@uc.edu<\/a><\/p>\n XSEDE<\/a>\u00a0(eXtreme Science and Engineering Discovery Environment) is\u00a0a virtual system that provides compute resources for scientists and researchers from all over the country. Its mission is to facilitate research collaboration among institutions, enhance research productivity, provide remote data transfer, and enable remote instrumentation. XSEDE is funded by National Science Foundation (NSF).\u00a0\u00a0Getting Started Guide for XSEDE<\/a>.<\/p>\n Flyers:\u00a0BigData_workshopflyer_Feb2019<\/a> DCSS flyer_xsede Big Data<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" — XSEDE monthly HPC workshop: Big Data Free Registration (required) Tentative Agenda Description: \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 This workshop will introduce scalable data analytics and machine learning. It is a two-day, hands-on workshop using Hadoop, Spark and TensorFlow. No prerequisites, although some familiarity … Continue reading