Tag: data mining

Analytics | Data for Good
Nicholas Quirke 0
2 paths to the top: How analytics gives students the professional edge

The global demand for analytics talent persists, with organisations facing challenges finding qualified individuals to support their growth. McKinsey’s recent survey revealed a significant shortage of skilled practitioners for the most in-demand tech skills, with less than 50% of the required professionals available worldwide. Despite the well-known STEM skills gap,

Advanced Analytics | Machine Learning
Kevin Scott 0
SAS® Fast-KPCA: An efficient and innovative nonlinear principal components method

SAS® Fast-KPCA implementation bypasses the limitations of exact KPCA methods. SAS® internally uses k-means to find a representative sample of a subset of points. This row reduction method has the advantage that c centroids are chosen to minimize the variation of points nearest to each centroid and maximize the variation to the other cluster centroids. In some cases, the downstream effect of using k-means on computing the SVD increases numerical stability and improves clustering, discrimination, and classification.

Advanced Analytics | Learn SAS | Machine Learning | Programming Tips
Suzanne Morgen 0
Learn about new data mining and machine learning procedures in SAS Viya

Have you heard that SAS offers a collection of new, high-performance CAS procedures that are compatible with a multi-threaded approach? The free e-book Exploring SAS® Viya®: Data Mining and Machine Learning is a great resource to learn more about these procedures and the features of SAS® Visual Data Mining and

Learn SAS
Chip Wells 0
SAS introduces the blended classroom

We all have different learning styles. Some learn best by seeing and doing; others by listening to lectures in a traditional classroom; still others simply by diving in and asking questions along the way. Traditional face-to-face classroom instruction, real-time classes over the Internet, or self-paced instruction with exercises, SAS Education

Analytics | Machine Learning
Joanna Gola 0
10 Commandments of Applied Econometrics or how not to sin when working with real data – Part 5

In the fourth post of the 10 Commandments of Applied Econometrics series we discussed the issues of keeping the solutions sensibly simple and applying model validation. Today, I will present another commandment related to data mining techniques. Use data mining reasonably. In the econometric community, data mining is a controversial and highly emotional

Analytics | Machine Learning
Fabian Buchert 0
Ein Wahlkampf mit Trumpf – mit Textanalytics verstehen was eigentlich gemeint ist

Mal ehrlich, wenn ich Sie fragen würde, worüber die Kandidaten im diesjährigen US-Wahlkampf in ihren Aufeinandertreffen debattiert haben – welche Kernthemen würden Sie mir spontan (abseits von Skandalen und Affären) nennen? Und könnten Sie diese Kernthemen den einzelnen Kandidaten zuordnen? Als ich mir diese Frage stellte, war die Antwort –

Analytics | Machine Learning
Joanna Gola 0
10 Przykazań Ekonometrii Stosowanej, czyli jak nie grzeszyć podczas pracy z realnymi danymi? – część 5

W czwartym wpisie z serii 10 przykazań Ekonometrii Stosowanej poruszyliśmy kwestie związane z zachowaniem prostoty i jasności stosowanych rozwiązań oraz weryfikacją modeli. Dziś przedstawię kolejne przykazanie, które wiąże się z wykorzystaniem technik data mining. 7. Data mining stosuj z rozwagą. Data mining jest w środowisku ekonometrycznym pojęciem kontrowersyjnym i budzącym

Analytics | Internet of Things
Andreas Becks 0
Warum intelligente Maschinen nicht den Menschen ersetzen (Teil1)

 Das Thema Künstliche Intelligenz (intelligente Maschinen) sorgt nach wie vor für Verwirrung und Unsicherheit. Ängstliche Fragen wie „Sind Roboter bald intelligenter als Menschen?“ und „Werden sie uns die Arbeitsplätze wegnehmen?“ bestimmen die Schlagzeilen – auch bei gut informierten Fachmedien. Selbst Stephen Hawking warnt vor künstlicher Intelligenz und der Tesla-Chef gar

Toby Text 0
20 Jahre KSFE

Neben dem 40 jährigen Gründungsjubiläum der Software Firma SAS gibt es 2016 auch das 20 jährige KSFE - Jubiläum der Kooperation der SAS Anwender in Forschung und Entwicklung zu feiern, und zwar in der ältesten Universität Schwedens.

Patrick Homer 0
The analytics-driven marketing evolution in life sciences

PharmaVOICE recently published an article: Analytics Driven Marketing for the pharmaceutical industry and I was fortunate enough to be interviewed. The article discusses the increased use of advanced analytics to make better marketing decisions, the progress that has been made and the challenges that still need to be overcome. Within

Learn SAS
Anuja Nagpal 0
Flexibility of SAS Enterprise Miner

Do you use an array of tools to perform predictive analytics on your data? Is your current tool not flexible enough to accommodate some of your requirements? SAS Enterprise Miner may be your solution. With growing number of data mining applications, having a tool which can do variety of analysis

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