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Last month I vowed to take time off from watching TV. I worried I was wasting time that could be spent in better ways. I entered that commitment with optimism for what I could achieve during the time off. As it turned out instead, my body was waiting to teach me
링컨 기념관과 워싱턴 기념비부터 스미소니언 박물관까지, 워싱턴 DC는 미국의 역사를 관통하는 세계적인 랜드마크인데요. 지난 9월 18일부터 20일, 이 유서 깊은 도시에서 미래 데이터와 분석 혁신에 대한 뜨거운 논의가 펼쳐졌습니다. 바로 전 세계 수천여 명의 분석 전문가, 산업별 리더, 세계적인 석학, 기업 경영진 및 실무진들이 한자리에 모인 'SAS 애널리틱스 익스피리언스(Analytics Experience)
Will the IoT live up to the hype? Yes. A most resounding YES. In fact, it will exceed the hype, because we don't even know all the IoT possibilities yet. We don’t know what we don’t know, and that lack of imagination limits even our hype. Where we are with
David Loshin describes how data as a service supports fast deployment, easy accessibility and data reuse.
Hacer un acercamiento a ciegas con un cliente, esperar meses para decidir lanzar o no un producto o gastar semanas e incontables horas hombre en levantar estadísticas que permitan identificar potenciales mejoras en productividad son historias selladas y enterradas. El mundo de los negocios se mueve hoy al ritmo de los
Modelle im Risikomanagement sind essenziell. Sie helfen uns dabei, das Risiko eines Unterfangens auf Basis weniger Einflussgrößen vorherzusagen. Die Kunst der Modellierung besteht nun darin, die wichtigsten Faktoren zu bestimmen und einen komplexen Zusammenhang vereinfacht so abzubilden, dass die Aussagekraft relevant ist. Das heißt, modellbasierte Prognosen sollen möglichst nahe an
Recent news reports indicate that the number of illegal immigrants apprehended along the US/Mexican border has dropped significantly since Trump took office. So, even though Trump hasn't had time to build a physical wall, perhaps there's a virtual wall in place now (built from the change in attitudes)? I've seen
This is the first in a series of posts about machine learning concepts, where we'll cover everything from learning styles to new dimensions in machine learning research. What makes machine learning so successful? The answer lies in the core concept of machine learning: a machine can learn from examples and
When an extremely rare aye-aye lemur named Agatha was born undersized at the Duke Lemur Center earlier this year, there was immediate cause for concern. There are only 23 captive aye-ayes in the US, and the wild population is at “very high risk of extinction” according to the International Union for
With the fifth maintenance release of SAS 9.4 (SAS 9.4M5) now available, it seems like a good time to get a refresher on some of the ways you can upgrade your existing SAS deployments to the latest release. Among several benefits, SAS 9.4M5 provides closer integration with the CAS in-memory runtime engine
Blogparade startet: Vor Kurzem wurde ja bereits der analytisch beste Ort der Welt gefunden und gekürt. Dazu hat SAS aus fast 150.000 Orten in rund 200 Ländern jede Menge Daten gesammelt und mit modernsten Machine-Learning-Verfahren ausgewertet. Rund 100 sogenannte Prädiktoren, also mögliche Einflussgrößen auf „paradiesische“ Verhältnisse, spuckten West Perth aus
My article about Fisher's transformation of the Pearson correlation contained a simulation. The simulation uses the RANDNORMAL function in SAS/IML software to simulate multivariate normal data. If you are a SAS programmer who does not have access to SAS/IML software, you can use the SIMNORMAL procedure in SAS/STAT software to
This is the 7th installment of the Getting Started series. The audience is the user who is new to the SG Procedures. Experienced users may also find some useful nuggets of information here. Starting with SAS 9.3 which was released 6 years ago, the SGPLOT procedure supports many new plot types including
Datenvisualisierung – Manchmal braucht man einfach extrinsische Motivationsfaktoren, um andere Wege zu gehen. Die Zweiradreisenden unter uns kennen und schätzen die besondere Art der Fortbewegung (ohne Blechdach) mit all ihren Vor- und Nachteilen. Eine begrenzte Gepäckkapazität, fehlende Klimatisierung, größere Unfallgefahr usw. sind Faktoren, mit denen man dabei leben muss. Was
Las vemos a diario en Twitter, nuestro feed de noticias en Facebook, en foros de LinkedIn o en los principales medios de negocios, tecnología y tendencias que consumimos. Todas son tecnologías capaces de transformar los negocios, la manera en que tomamos decisiones y varias de las más importantes actividades de