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  1. Courses, Curricula, and Interdisciplinary Programs - Bloom

    33:36

    from The National Academies Added 45 0 0

    Joshua Bloom (University of California, Berkeley) considers the skills and courses that make up an education in big data. This recording is an excerpt from Committee on Applied and Theoretical Statistics'…

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    • Courses, Curricula, and Interdisciplinary Programs - Fox

      30:07

      from The National Academies Added 22 0 0

      Peter Fox (Rensselear Polytechnic Institution) discusses the data science curriculum at Rensselaer. This recording is an excerpt from Committee on Applied and Theoretical Statistics' workshop:…

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      • Courses, Curricula, and Interdisciplinary Programs - Howe

        36:36

        from The National Academies Added 37 0 0

        Bill Howe (University of Washington) discusses a massively-online open course in data science. This recording is an excerpt from Committee on Applied and Theoretical Statistics' workshop: Training…

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        • Opening Remarks - NSF and Big Data

          23:00

          from The National Academies Added 46 0 0

          "Suzanne Iacono (Deputy Assistant Director, Directorate for Computer and Information Science and Engineering, National Science Foundation) explains the need for a workshop on training students…

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          • Principles for Working with Big Data - Freire

            21:16

            from The National Academies Added 37 0 0

            Juliana Freire (New York University) examines the tasks involved in dealing with big data. This recording is an excerpt from Committee on Applied and Theoretical Statistics' workshop: Training…

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            • Principles for Working with Big Data - Gray

              32:04

              from The National Academies Added 39 0 0

              Alexander Gray (Skytree Corporation) discusses machine learning and the work of Skytree Corporation. This recording is an excerpt from Committee on Applied and Theoretical Statistics' workshop:…

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              • Principles for Working with Big Data - Lang

                26:55

                from The National Academies Added 43 0 0

                Duncan Temple Lang (University of California, Davis) ponders the core concepts to teach in big data. This recording is an excerpt from Committee on Applied and Theoretical Statistics' workshop:…

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                • Principles for Working with Big Data - Ullman

                  31:38

                  from The National Academies Added 95 2 0

                  Jeffery Ullman (Stanford University) explains MapReduce and its applications. This recording is an excerpt from Committee on Applied and Theoretical Statistics' workshop: Training Students…

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                  • Shared Resources in Big Data - Brachman

                    16:20

                    from The National Academies Added 16 0 0

                    Ron Brachman (Yahoo Corporation) discusses specific data sets available for research and training. This recording is an excerpt from Committee on Applied and Theoretical Statistics' workshop:…

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                    • Shared Resources in Big Data - Cleveland

                      25:45

                      from The National Academies Added 15 0 0

                      Bill Cleveland (Purdue University) discusses divide and recombine for big data. This recording is an excerpt from Committee on Applied and Theoretical Statistics' workshop: Training Students…

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                      • Shared Resources in Big Data - Re

                        33:10

                        from The National Academies Added 18 0 0

                        Christopher Re (Stanford University) explains large probabilistic knowledge bases. This recording is an excerpt from Committee on Applied and Theoretical Statistics' workshop: Training Students…

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                        • Shared Resources in Big Data - Ryland

                          21:12

                          from The National Academies Added 33 0 0

                          Mark Ryland (Amazon Corporation) discusses resource sharing in cloud computing and for cost saving. This recording is an excerpt from Committee on Applied and Theoretical Statistics' workshop:…

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