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In a scatter plot that displays many points, it can be important to visualize the density of the points. Scatter plots (indeed, all plots that show individual markers) can suffer from overplotting, which means that the graph does not indicate how many observations are at a specific (x, y) location.
One of the most common questions I encounter in my work is some variation of “How can I make Mom/Dad/Grandma/Grandpa take better care of themselves, realize they need to move to long term care, stop driving", ... you get the picture.
Künstliche Intelligenz (KI) scheint heute die Zauberformel für alles zu sein: Automatisierung, Selbstoptimierung oder Kundenkommunikation. Doch hier lohnt es sich, kurz innezuhalten und zu fragen: Braucht Marketing KI denn wirklich? Oder ist es manchmal nicht besser, wenn der Chatbot schweigt? Hört man sich unter Softwareherstellern um, bekommt man den Eindruck,
Customer identity is a precious asset and a highly prized commodity. As the financial services industry has become more digitised down the years, customers' digital identity decides what they can do and what online services they have access to. This has been revolutionary for the customer experience. So long as
North Carolina is one of those key "swing states" that might possibly decide a national presidential election. And with such an election coming up next year (2020), I thought I would have a look at the voter registration data to see how it has changed since the previous presidential election
Just when you think you’ve seen it all, life can surprise you in a big way, making you wonder what else you've missed. That is what happened when I recently had a chance to work with the SAS® Scalable Performance Data Server, a product that's been around a while, but
Around the world, combating public sector fraud is a major problem. "Benefits cheats" get the most media attention, but are by no means the biggest loss. Tax fraud is also a huge issue. And some estimates suggest that procurement fraud could dwarf both in terms of both scale and complexity.
Machine Learning und selbstlernende Algorithmen lassen sich in unterschiedlichsten Geschäftsbereichen einsetzen, um manuelle Prozesse zu unterstützen oder zu automatisieren. Betrugserkennung und Geldwäscheprävention bieten sich dafür an – bedürfen dabei aber besonderer Umsicht. Denn jede Fehleinschätzung kann entweder große finanzielle Verluste oder einen erheblichen Imageschaden nach sich ziehen. Wie die Technologien
A moving average is a statistical technique that is used to smooth a time series. My colleague, Cindy Wang, wrote an article about the Hull moving average (HMA), which is a time series smoother that is sometimes used as a technical indicator by stock market traders. Cindy showed how to
Time-series decomposition is an important technique for time series analysis, especially for seasonal adjustment and trend strength measurement. Decomposition deconstructs a time series into several components, with each representing a certain pattern or characteristic. This post shows you how to use SAS® Visual Analytics to visually show the decomposition of
Earlier this year I was lucky enough to attend the BT Young Scientist & Technology Exhibition with my colleague Alan McGlinn at the RDS in Dublin. If you’re in Dublin in January, I thoroughly recommend a visit. The event is vast, and I was humbled by the level of expertise,
A nivel mundial, la matrícula de mujeres en áreas como Tecnología de la Información y Comunicaciones (TIC) es particularmente baja, con un tres por ciento, al igual que en otras como Ciencias Naturales, Matemáticas y Estadística, con un cinco por ciento, e Ingeniería, Manufactura y Construcción, con un 8 por ciento. En
The SAS Forecasting R&D team has an open position for a Forecasting and Machine Learning Specialist (apply here). What you’ll do As a Forecasting and Machine Learning Specialist on the SAS Forecasting R&D team, you will help create innovative software to apply cutting-edge statistical methods to automated enterprise-scale business forecasting processes. You will:
How do we make the world a better place? It’s a question that’s tickled many a worthy brain over the centuries – and now the answer is closer than ever. Data can make the world a better place. Data is why we don’t live in caves anymore, why we moved
Wenn sich Experten über Künstliche Intelligenz unterhalten, wird es schnell technisch und häufig auch euphorisch. Eine positive Grundstimmung dominiert, vor allem unter den Experten, die mit dem technischen Fortschritt auf irgendeine Art und Weise Geld verdienen. Anders ist es, wenn ganz normale Menschen zu diesem Thema ins Gespräch kommen. Dann