"Apps für Landwirte sind wie Magie" - AI #9
Wir können durch unseren technologischen Vorsprung den Landwirten eine bessere Entscheidungsgrundlage geben.
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Why Ops-ing is in (DevOps, ModelOps, DataOps)
Jim Harris explains the relevance of DevOps, DataOps and ModelOps for data analytics practitioners.
Viewing SAS macro variables in SAS Enterprise Guide
If you use SAS macro variables in your programs (who doesn't?), then the SAS Macro Variable viewer is immensely useful to see current macro var values.
How long does it take to paddle a canoe 100 miles?
I'm a bit of a boat paddling enthusiast, as you might have guessed from some of my previous paddling blog posts. The amount of exertion in race-paddling is similar to running - the longest race I've paddled in a race so far was 13 miles (half-marathon distance). But in the
Wenn KI geschmacksentscheidend wird - AI #8
"Deshalb befinden wir uns in einer ewigen Schleife der technisch-ethischen Diskussion."
Are you suffering from demand planner spreadsheet overload?
Is it getting harder and harder to find empty Excel spreadsheets cells, as you run out of columns and rows? Do your spreadsheet cell labels have more letters than the license plate on your car? Do you find yourself waking up in the middle of the night in cold
The binormal model for ROC curves
The ROC curve is a graphical method that summarizes how well a binary classifier can discriminate between two populations, often called the "negative" population (individuals who do not have a disease or characteristic) and the "positive" population (individuals who do have it). As shown in a previous article, there is
Learning from learning: My Stanford machine learning course experience
Last summer, I joined a growing trend: I took an online course on machine learning algorithms run by Stanford University.
Through Thick and Thin: Supporting partners
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
Ridgeline Plots using SGPLOT
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
How to use Suggestions in SAS® Data Studio
SAS Technical Training Consultant Mary Kathryn Queen introduces you to SAS Data Studio's Suggestions feature.
Broken Culture - AI #7
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
Visualization of a binary classification analysis
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?
¿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,
2 first steps to effecting forecasting process change
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
Serviço SAS Premium Support - O que é? A quem se destina? Quais as mais-valias?
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,
A list of SAS DATA step functions that do not run in CAS
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."
Introducing the feature contribution index for model assessment
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?
Creating a model validation pipeline
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.
Model validation testing in the age of DevOps
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."
A structured approach to model validation
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.
4 principles of analytics you cannot ignore
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
Visualize collinearity diagnostics
A previous article shows how to interpret the collinearity diagnostics that are produced by PROC REG in SAS. The process involves scanning down numbers in a table in order to find extreme values. This can be a tedious and error-prone process. Friendly and Kwan (2009) compare this task to a
Giving your maps more visual impact!
There are many ways to add more "visual impact" to your maps. Some techniques grab the users' attention, but often don't add anything useful to the message the map is trying to convey (such as 3D tricks, or flashy/gratuitous images and infographics). I encourage you to design maps that have
How advanced analytics with machine learning boosts the public sector
Presence of machine learning is a complementary to human decision-making within the public sector.
3 people I can’t wait to meet at SAS Global Forum
What do a Pulitzer prize-winning author, an Emmy award-winning TV personality and one of the top 5 influencers in the world have in common? They’ll all be at SAS Global Forum this year. It’s where analytics enthusiasts and executive thought leaders meet to share strategies, get training in abundance, and
An Easy Button for Data Science in Python
This blog is a part of a series on the Data Science Pilot Action Set. In this blog we review all nine actions in Python. Have you noticed the button bar in the upper right-hand corner of the SAS Visual Data Mining and Machine Learning Programming Guide? This button bar
An Introduction to SAS for Containers
Having trouble easily moving software from one environment to another? Surely this ought to be an uncomplicated process, especially in the modern age of technology! However, let us consider an analytical model built in a design environment to detect fraudulent credit card transactions. This is now ready to be rolled
The Johnson system: Which distribution should you choose to model data?
The Johnson system (Johnson, 1949) contains a family of four distributions: the normal distribution, the lognormal distribution, the SB distribution, and the SU distribution. Previous articles explain why the Johnson system is useful and show how to use PROC UNIVARIATE in SAS to estimate parameters for the Johnson SB distribution
NRF 2020 : Quelles tendances s’annoncent prédominantes pour le retail en 2020 ?
Alors que certains annonçaient encore récemment la mort du commerce de détail en magasin, prédiction confortée par la croissance explosive d'Amazon, nous avons clairement vu se profiler une seconde vie des magasins en nous promenant dans les couloirs du Javitz Center de New York pendant la NRF 2020. Le commerce