Training students to extract value from big data : summary of a workshop / Maureen 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.

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...

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Bibliographic Details
Main Author:	Mellody, Maureen (rapporteur.)
Corporate Author:	Training Students to Extract Value from Big Data (Workshop)
Format:	eBook
Language:	English
Published:	Washington, D.C. : The National Academies Press, [2015]
Subjects:	Mathematics > Study and teaching (Higher) > United States > Evaluation. Data sets. Statistics. Statistics > Methodology. statistics. Statistics Data sets Mathematics > Study and teaching (Higher) > Evaluation United States proceedings (reports) Conference papers and proceedings Conference papers and proceedings. Actes de congrès.
Online Access:	Click for online access

Table of Contents:

FrontMatter; Acknowledgment of Reviewers; Contents; 1 Introduction; 2 The Need for Training: Experiences and Case Studies; 3 Principles for Working with Big Data; 4 Courses, Curricula, and Interdisciplinary Programs; 5 Shared Resources; 6 Workshop Lessons; References; Appendixes; Appendix A: Registered Workshop Participants; Appendix B: Workshop Agenda; Appendix C: Acronyms.

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