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008 150214t20142014dcua ob 100 0 eng d
020 9780309314381|q(electronic book)
020 0309314380|q(electronic book)
020 |z9780309314343
020 |z9780309314374|q(paperback)
020 |z0309314372|q(paperback)
035 (OCoLC)903963806
040 E7B|beng|erda|epn|cE7B|dCUS|dN$T|dOCLCQ
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049 RIDW
050 4 QA13|b.M455 2014eb
072 7 MAT|x039000|2bisacsh
072 7 MAT|x023000|2bisacsh
072 7 MAT|x026000|2bisacsh
082 04 510.71173|223
090 QA13|b.M455 2014eb
111 2 Training Students to Extract Value from Big Data
(Workshop)|d(2014 :|cWashington, D.C.)|0https://id.loc.gov
/authorities/names/n2015187277
245 10 Training 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.
264 1 Washington, District of Columbia :|bThe National Academies
Press,|c[2014]
264 4 |c©2014
300 1 online resource (xii, 54 pages) :|billustrations
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
340 |gpolychrome|2rdacc
347 text file|2rdaft
504 Includes bibliographical references (pages 45-46).
505 0 The Need for Training: Experiences and Case Studies --
Principles for Working with Big Data -- Courses, Curricula,
and Interdisciplinary Programs -- Shared Resources --
Workshop Lessons -- Appendix A: Registered Workshop
Participants -- Appendix B: Workshop Agenda -- Appendix C:
Acronyms.
520 "As the availability of high-throughput data-collection
technologies, such as information-sensing mobile devices,
remote sensing, internet log records, and wireless sensor
networks has grown, science, engineering, and business
have rapidly transitioned from striving to develop
information from scant data to a situation in which the
challenge is now that the amount of information exceeds a
human's ability to examine, let alone absorb, it. Data
sets are increasingly complex, and this potentially
increases the problems associated with such concerns as
missing information and other quality concerns, data
heterogeneity, and differing data formats. The nation's
ability to make use of data depends heavily on the
availability of a workforce that is properly trained and
ready to tackle high-need areas. Training students to be
capable in exploiting big data requires experience with
statistical analysis, machine learning, and computational
infrastructure that permits the real problems associated
with massive data to be revealed and, ultimately,
addressed. Analysis of big data requires cross-
disciplinary skills, including the ability to make
modeling decisions while balancing trade-offs between
optimization and approximation, all while being attentive
to useful metrics and system robustness. To develop those
skills in students, it is important to identify whom to
teach, that is, the educational background, experience,
and characteristics of a prospective data-science student;
what to teach, that is, the technical and practical
content that should be taught to the student; and how to
teach, that is, the structure and organization of a data-
science program. Training Students to Extract Value from
Big Data summarizes a workshop convened in April 2014 by
the National Research Council's Committee on Applied and
Theoretical Statistics to explore how best to train
students to use big data. The workshop explored the need
for training and curricula and coursework that should be
included. One impetus for the workshop was the current
fragmented view of what is meant by analysis of big data,
data analytics, or data science. New graduate programs are
introduced regularly, and they have their own notions of
what is meant by those terms and, most important, of what
students need to know to be proficient in data-intensive
work. This report provides a variety of perspectives about
those elements and about their integration into courses
and curricula."--Publisher's description.
588 0 Online resource; title from PDF cover (ebrary, viewed
February 13, 2015).
590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic
Collection - North America
650 0 Mathematics|xStudy and teaching (Higher)|zUnited States
|0https://id.loc.gov/authorities/subjects/sh2010101051
|xEvaluation.|0https://id.loc.gov/authorities/subjects/
sh00005674
650 0 Data mining|0https://id.loc.gov/authorities/subjects/
sh97002073|xStudy and teaching (Higher)|0https://
id.loc.gov/authorities/subjects/sh2001009005|zUnited
States.|0https://id.loc.gov/authorities/names/n78095330-
781
650 0 Big data|0https://id.loc.gov/authorities/subjects/
sh2012003227|xStudy and teaching (Higher)|0https://
id.loc.gov/authorities/subjects/sh2001009005|zUnited
States.|0https://id.loc.gov/authorities/names/n78095330-
781
650 0 Mathematical statistics|0https://id.loc.gov/authorities/
subjects/sh85082133|xData mining.
650 7 Mathematics|xStudy and teaching (Higher)|2fast|0https://
id.worldcat.org/fast/1012286
650 7 Evaluation.|2fast|0https://id.worldcat.org/fast/916975
650 7 Data mining.|2fast|0https://id.worldcat.org/fast/887946
650 7 Big data.|2fast|0https://id.worldcat.org/fast/1892965
650 7 Mathematical statistics.|2fast|0https://id.worldcat.org/
fast/1012127
651 7 United States.|2fast|0https://id.worldcat.org/fast/1204155
655 4 Electronic books.
655 7 Conference papers and proceedings.|2lcgft|0https://
id.loc.gov/authorities/genreForms/gf2014026068
655 7 Conference papers and proceedings.|2fast|0https://
id.worldcat.org/fast/1423772
700 1 Mellody, Maureen,|0https://id.loc.gov/authorities/names/
n2015181394|erapporteur.
710 2 National Research Council (U.S.).|bCommittee on Applied
and Theoretical Statistics.|0https://id.loc.gov/
authorities/names/n92078033
710 2 National Research Council (U.S.).|bBoard on Mathematical
Sciences and Their Applications.|0https://id.loc.gov/
authorities/names/n2002014842
710 2 National Research Council (U.S.).|bDivision on Engineering
and Physical Sciences.|0https://id.loc.gov/authorities/
names/n2002018789
776 08 |iPrint version:|aMellody, Maureen.|tTraining students to
extract value from big data : summary of a workshop.
|dWashington, District of Columbia : The National
Academies Press, ©2014|hxii, 54 pages|z9780309314343
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
search.ebscohost.com/login.aspx?direct=true&scope=site&
db=nlebk&AN=941883|zOnline eBook. Access restricted to
current Rider University students, faculty, and staff.
856 42 |3Instructions for reading/downloading this eBook|uhttp://
guides.rider.edu/ebooks/ebsco
901 MARCIVE 20231220
948 |d20160607|cEBSCO|tebscoebooksacademic|lridw
994 92|bRID
