Register Here! (Free) The Center for Computational Science, in collaboration with the College of Arts and Sciences, Miami Herbert Business School, and the School of Communication, invites you to the 4th annual Big Data Conference, joined by the annual data visualization celebration, VizUM. Participate in panel discussions on capacity building, and cybersecurity, and network with data visualization experts, south Florida...
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Big data, advanced computing, and algorithms are rapidly and profoundly changing every sphere of human activity; Airbnb, Uber, and Fitbit are just a few examples. Today, over 3.6 billion people worldwide are deeply engaged with smartphone devices, wearables, and Internet-of-things technologies while artificial intelligence also promises to create a wave of new products. Advanced computing gives us the ability to reliably and cost...
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Big Data routes to Precision Oncology Speaker: Enrico Capobianco, PhD, Lead Senior Bioinformatics Scientist, UM CCS Computational Biology & Bioinformatics program Monday, 2/26/2017, 12:00-1:00 PM | Light lunch will be provided. Location Medical Campus SCCC 1301, Sylvester Comprehensive Cancer Center, 1475 NW 12th Avenue, Miami, FL 33136 (map/directions) Click here for parking information. Abstract: Many of the current...
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2nd Annual BIG DATA Conference & Workshop CONFERENCE & WORKSHOP Monday and Tuesday, December 4-5, 2017 Daniel Cohen, Senior Vice President, Digital Payments and Labs for MasterCard Latin America and the Caribbean, offered the keynote address. In his role at MasterCard, he is responsible for leading the development and commercialization of innovative payment solutions that can be used at the check-out counter, via the...
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PLEASE NOTE LOCATION CHANGE: Event will be hosted in MSC 123 Join us for an introductory workshop on Big Data "Intro. to Hadoop and Spark" on Friday, August 11, 2017, from 1:00-4:00 PM at RSMAS, Marine Science Center MSC 123. The workshop explores the differences between Big Data systems and traditional high-performance computing and will get your hands wet by running some Hadoop and spark jobs using sample data. This is an...
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