All Posts
SAS Technical Training Consultant Mary Kathryn Queen introduces you to SAS Data Studio's Suggestions feature.
Wer sind wir? Üblicherweise stellen sich nur menschliche Philosophen diese Frage. Doch mit Einzug von Künstlicher Intelligenz ist auch Unternehmensleitern angeraten, solches zu fragen. Nicht, dass sich welche für IT-Dienstleister halten, doch in Wahrheit Personaldienstleister sind. Was ja nicht schlimm wäre, solange sich das Produkt verkauft. Doch mit zunehmender Globalisierung
The purpose of this article is to show how to use SAS to create a graph that illustrates a basic idea in a binary classification analysis, such as discriminant analysis and logistic regression. The graph, shown at right, shows two populations. Subjects in the "negative" population do not have some
¿Qué pasa cuando algo tan poderoso como IA libera el potencial del talento humano? Click To Tweet Este paradigma implica cambios en la cultura de las organizaciones a través de la combinación de Innovación, Talento y Tecnología. Pero la transformación digital va más allá de generar utilidades y reducir costos,
What if you suspect something is wrong with your forecasting process? What if the process is consuming too much time and too many resources, while still delivering unsatisfactory results (lousy forecasts). What can you do about it? This post looks at the first two steps to effecting meaningful forecasting process
SAS' Kris Stobbe shows how you can predict survival rates of Titanic passengers with a combination of both Python and CAS using SWAT, then see how the models performed.
There’s something about the calendar rolling over to a New Year that makes most of us want to set new goals or start fresh. I’m no different. This year’s goals regarding my own physical health included a commitment to having 8 – 10 servings of vegetables per day and more
Um dos principais focos do SAS é entregar, aos clientes, soluções comprovadas e inovadoras que garantam a melhoria do seu desempenho e os ajudem a diferenciar-se dentro da sua área e mercado de atuação. Ajudá-los a tirar o máximo proveito de cada ferramenta faz também parte da missão do SAS,
Are you a statistical programmer whose company has adopted SAS Viya? If so, you probably know that the DATA step can run in parallel in SAS Cloud Analytic Services (CAS). As Sekosky (2017) says, "running in a single thread in SAS is different from running in many threads in CAS."
Most model assessment metrics, such as Lift, AUC, KS, ASE, require the presence of the target/label to be in the data. This is always the case at the time of model training. But how can I ensure that the developed model can be applied to new data for prediction?
This post describes a fully automated validation pipeline for analytical models as part of an analytical platform, which has been set up recently as part of a customer project.
Let us now take a look at a well-known metaphor for test case development in the software industry. We are referring to the idea of the “test pyramid."
In total, there are four posts in this blog series, this is the first post describing some basic principles of the DevOps (or ModelOps) approach.
In case you missed the news, there is a new edition of The Little SAS Book! Last fall, we completed the sixth edition of our book, and even though it is actually a few pages shorter than the fifth edition, we managed to add many more topics to the book.
Maybe you are new to AI and analytics. Or maybe you have been working with data and analytics for decades, even before we called this work data science or decision science. As the industry has broadened from statistics and analytics to big data and artificial intelligence, some things have remained