'Data scientists' diaporamas de présentation

Sherpa, MAP, Predictive Analytics and Dashboard: Software Designed for Success

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The research data management workforce

The research data management workforce. Alma Swan K ey Perspectives L td T ruro , UK. The Data Imperative: Libraries and Research Data conference Organised by the RLUK/SCONUL e -Research Task Force in association with the Oxford e -Research Centre and the Research Information Network

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NIST Big Data Public Working Group NBD-PWG

NIST Big Data Public Working Group NBD-PWG. Geoffrey Fox Based on September 30, 2013 Presentations at one day workshop at NIST Leaders of activity Wo Chang, NIST Robert Marcus, ET-Strategies Chaitanya Baru, UC San Diego Note web site http://bigdatawg.nist.gov / is shut down.

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Clustering and Research Works

Clustering and Research Works. Dr. Bernard Chen Ph.D. University of Central Arkansas. Outline. Clustering Data Science Future Works. Clustering Algorithms. There are two clustering algorithms we used in our approach: K-means Clustering Fuzzy C-means Clustering. K-means Clustering.

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Semester in Review

Lecture 7. Semester in Review. Program Eval Limbo Rock. This song reviews the major steps of the process. http://www.quickmeme.com/First-World-Problems/. Not all problems are social problems. Logic Models are tools for Assessment. Kellog Foundation 2004:3. Brooks p 3 management.

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Business Intelligence and Smart Analytics

Business Intelligence and Smart Analytics. Catherine Peck-Phillips Eric Huang Mattimore Cronin. Why this matters. http:// www.quora.com/Internet-Advertising/What-is-the-average-CPM-charged-by-U-S-newspapers

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Common solution for the (very-)large data challenge.

Common solution for the (very-)large data challenge. VLDATA Call: EINFRA-1 (Focus on Topics 4-5) Deadline: Sep. 2nd 2014. 1.1 Objectives.

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A Software-Defined Networking based Approach for Performance Management of Analytical Queries on Distributed Data St

A Software-Defined Networking based Approach for Performance Management of Analytical Queries on Distributed Data Stores. Pengcheng Xiong (NEC Labs America) Hakan Hacigumus (NEC Labs America ) Jeffrey F. Naughton (Univ. of Wisconsin). Agenda. Why? Motivation and background How?

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Strategic coordination of ICSU data activities

Strategic coordination of ICSU data activities. Peter Fox (RPI) WDS Science Symposium 2011 September 3-6, 2011, Kyoto, JAPAN. The trajectory. Technical advances. From: C. Borgman, 2008, NSF Cyberlearning Report. Coordination for Data. Strategic CSPR Priority Area Assessment on Data 2004

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We are all e-Researchers now

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Review of the Semester

Review of the Semester. We in this class are part of a rising trend. Some Good News.

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Computer Technology

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Long-lived Digital Data Collections: Enabling Research and Education in the 21 st Century

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NumSim Numerical Simulation Metadata

NumSim Numerical Simulation Metadata. Bryan Lawrence 1 , Charlotte Pascoe 1 and Phil Bentley 2 1 BADC 2 Met Office. Why NumSim?. Need to document and discriminate between the variety of model simulation data held at BADC. Need to do it NOW!

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Data-intensive Research Policy In Ireland

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Python for Data Analysis

Python for Data Analysis. IS&T Research Computing Services Katia Oleinik Shuai Wei. Tutorial Content. Overview of Python Libraries for Data Scientists. Reading Data; Selecting and Filtering the Data; Data manipulation, sorting, grouping, rearranging. Plotting the data.

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Data Science

Data Science. Data?. According to IDC 2.8 zettabytes of data created in 2012....to double by 2015 Three quarters of this is generated by individuals Average American office worker produces 1.8 million megabytes/year...5000 MB/day. Quantity of Data.

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Preservation e-infrastructure

Preservation e-infrastructure. BoF Summary Jamie.Shiers@cern.ch BoF Chaired by David Giaretta / APA. Topics Discussed at BoF. Charter Value Proposition Engagement with existing work Adoption plan Initial membership. Value Proposition.

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