001366042 000__ 02317nam\a2200493\i\4500 001366042 001__ 1366042 001366042 003__ MiAaPQ 001366042 005__ 20210807003623.0 001366042 006__ m\\\\\o\\d\\\\\\\\ 001366042 007__ cr\cn\nnnunnun 001366042 008__ 150214t20142014dcua\\\\ob\\\\000\0\eng\d 001366042 020__ $$z9780309314343 001366042 020__ $$a9780309314381 (e-book) 001366042 035__ $$a(MiAaPQ)EBC3379411 001366042 035__ $$a(Au-PeEL)EBL3379411 001366042 035__ $$a(CaPaEBR)ebr11014780 001366042 035__ $$a(OCoLC)915729200 001366042 040__ $$aMiAaPQ$$beng$$erda$$epn$$cMiAaPQ$$dMiAaPQ 001366042 043__ $$an-us--- 001366042 050_4 $$aQA13$$b.M455 2014 001366042 0820_ $$a510.71173$$223 001366042 1001_ $$aMellody, Maureen,$$eauthor. 001366042 24510 $$aTraining students to extract value from big data :$$bsummary of a workshop /$$cMaureen Mellody, rapporteur ; Committee on Applied and Theoretical Statistics ; Board on Mathematical Sciences and Their Applications ; Division on Engineering and Physical Sciences ; National Research Council of the National Academies. 001366042 264_1 $$aWashington, District of Columbia :$$bThe National Academies Press,$$c2014. 001366042 264_4 $$c©2014 001366042 300__ $$a1 online resource (66 pages) :$$billustrations 001366042 336__ $$atext$$2rdacontent 001366042 337__ $$acomputer$$2rdamedia 001366042 338__ $$aonline resource$$2rdacarrier 001366042 504__ $$aIncludes bibliographical references. 001366042 506__ $$aAccess limited to authorized users. 001366042 588__ $$aDescription based on online resource; title from PDF cover (ebrary, viewed February 13, 2015). 001366042 650_0 $$aMathematics$$xStudy and teaching (Higher)$$zUnited States$$xEvaluation. 001366042 655_0 $$aElectronic books 001366042 7102_ $$aCommittee on Applied and Theoretical Statistics. 001366042 7102_ $$aBoard on Mathematical Sciences and Their Applications. 001366042 7102_ $$aDivision on Engineering and Physical Sciences. 001366042 7102_ $$aNational Research Council of the National Academies. 001366042 77608 $$iPrint version:$$aMellody, Maureen.$$tTraining students to extract value from big data : summary of a workshop.$$dWashington, District of Columbia : The National Academies Press, c2014 $$z9780309314343 001366042 852__ $$bebk 001366042 85640 $$3ProQuest Ebook Central Academic Complete $$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=3379411$$zOnline Access 001366042 909CO $$ooai:library.usi.edu:1366042$$pGLOBAL_SET 001366042 980__ $$aBIB 001366042 980__ $$aEBOOK 001366042 982__ $$aEbook 001366042 983__ $$aOnline