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Last summer, I joined a growing trend: I took an online course on machine learning algorithms run by Stanford University.
In my office is a coaster with this quote from Kathleen Norris: “Anything, everything, little or big, becomes an adventure when the right person shares it.” The right person could be anyone, but for the sake of our annual Work/Life relationship series, I'm thinking about romantic partners. In the context
Los avances recientes de la analítica, en conjunto con la Inteligencia Artificial y las soluciones de la Nube están logrando consolidar nuevas oportunidades dentro del sector retail, las cuales facilitan las operaciones de las empresas ayudándoles a ser más eficientes en la optimización de inventario, automatización de pronósticos, análisis de
Ridgeline plots are useful for visualizing changes in the shapes of distribution over multiple groups or time periods. Let us look at an example of how we can create this plot using the SGPLOT procedure that is part of the ODS Graphics Procedures. For this example, we will plot the
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.