'Data miners' diaporamas de présentation

Empirical Software Engineering, Version 2.0

Tim Menzies, WVU, USA Forrest Shull, Fraunhofer , USA (with John Hoskings , UoA , NZ) Jan 27-2011. Empirical Software Engineering, Version 2.0. About us. Curators of large repositories of SE data Searched for conclusions Shull: NSF-funded CeBase 2001- 2005 No longer on-line

495 views • 48 slides

PEOPLE AND PROCESSES FOR DATA MANAGEMENT AND ANALYTICS

577 views • 43 slides

Data Analyst

632 views • 41 slides

Data Mining, Truth, Justice, the American Way, and the Flying Spaghetti Monster

355 views • 35 slides

Appreciative Inquiry at U. S. Cellular

293 views • 29 slides

Data Visualization

632 views • 28 slides

Data Mining (and machine learning)

Data Mining (and machine learning). DM Lecture 3: Basic Statistics for data miners. Overview of My Lectures. All at: http://www.macs.hw.ac.uk/~dwcorne/Teaching/dmml.html 25/9 Overview of DM (and of these 8 lectures)

271 views • 27 slides

382 views • 25 slides

Tracking Hurricane Sandy

Tracking Hurricane Sandy. Pete Arvedson California Science Conference October 26, 2013. Hosted by Satellite Educators Association. View these video clips: 0508.katrina.mov 121020-31_sandy_life.mov. What did you see?. What would you like to know more about?. Lesson Objectives.

368 views • 24 slides

Tracking Hurricane Sandy

Tracking Hurricane Sandy. Pete Arvedson California Science Conference October 26, 2013. Hosted by Satellite Educators Association Lesson Development supported by a grant from NOAA-CREST West. View these video clips: 0508.katrina.mov 121020-31_sandy_life.mov. What did you see?.

393 views • 24 slides

Data Mining Concepts

Microsoft Enterprise Consortium. Data Mining Concepts. Introduction: The essential background. Modules in this Series. The modules in this series are targeted to support using the Microsoft SQL Server 2008 Business Intelligence Development Studio hosted at the University of Arkansas

277 views • 14 slides

Okay, I got to say at first glance it does seem like I need to brush up on my spellings, but, fortunately, that's not the case. R is a free software and programming language which is developed as an environment for graphics and statistical computing and is supported by the R Foundation for Statistical software. Developing data analysis and statistical software by data miners and statisticians are the fields where the R language is widely used.

28 views • 2 slides