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I was supposed to be behind a desk downing M&M’s and enjoying the SAS campus and all its glory. But instead, I’m working from home as an external communications intern. Working from home has been a blessing filled with challenges I never thought I’d experience this summer. The first one
The multivariate normal distribution is used frequently in multivariate statistics and machine learning. In many applications, you need to evaluate the log-likelihood function in order to compare how well different models fit the data. The log-likelihood for a vector x is the natural logarithm of the multivariate normal (MVN) density
Las organizaciones han estado migrando a la nube para estar a la vanguardia tecnológica y alcanzar más rápidamente sus objetivos de negocio. Tener el software, la infraestructura y los servicios en cloud da la flexibilidad y el poder de procesamiento que requieren a medida que crecen; incluso cuando se enfrentan
In my new book, End-to-End Data Science with SAS: A Hands-On Programming Guide, I use the 1.5 IQR rule to adjust multiple variables. This program utilizes a macro that loops through a list of variables to make the necessary adjustments and creates an output data set. One of the most
En España se generan más de 22 millones de toneladas de residuos urbanos al año, según datos de la Alianza Residuo Cero, que apunta también a que solo un 30% de ellos acaban siendo reciclados. Para minimizar su impacto en el entorno es fundamental un sistema adecuado de gestión, ya
SAS experts point to five trends that are shaping the future for digital tax administration.
Human brains are hardwired to build maps. We navigate the world around us through the creation of mental maps. Maps that assemble abstract landmarks and build spatial relationships between them. If you think about how you navigate through your house, even in the dark, it is quite amazing. Maps have
A previous article introduces the MAPREDUCE function in the iml action. (The iml action was introduced in Viya 3.5.) The MAPREDUCE function implements the map-reduce paradigm, which is a two-step process for distributing a computation to multiple threads. The example in the previous article adds a set of numbers by
회복이란 무엇일까요? 정상 상태로 돌아가는 것, 잃어버린 것을 되찾는 것, 통제와 안전을 되찾는 것... 평상시로 돌아가는 것은 지금은 힘든 일처럼 느껴지지만 조직의 회복 정도는 지금과 같은 혼란기에 리더가 취하는 조치에 달려 있습니다. 이번 SGF 시리즈에서는 팬데믹 시기의 혼란기를 리더는 어떻게 대응해야 하는지 살펴보고자 이코노미스트와 함께 조사한 ‘글로벌 비즈니스 바로미터(이하, GBB)’
As soluções de analytics são muito importantes no momento em que estamos vivendo. Tanto no combate direto à proliferação do vírus e no planejamento operacional de governos e instituições de saúde, quanto como arma das empresas para passar pela crise econômica que deve vir como resultado da pandemia da covid-19,
During the 2020 Coronavirus pandemic, you've probably formed a great appreciation for good, informative graphics. Good graphics can help you get a handle on thousands of individual data values, see the geographical distribution, or look for trends. In February, I wrote a blog post about creating a coronavirus dashboard with
Last month, SAS and Microsoft announced a new strategic partnership – one that we believe will shape the future of analytics and artificial intelligence. You may be wondering as a customer what this partnership means for you. As an IT leader, I’ve had a front-row seat for the collaborative relationship
How have healthcare providers and governmental agencies predicted the fast-changing, potentially exponential increase in the need for medical services and equipment through the various stages of the COVID-19 pandemic? Mathematical techniques that attempt to model and understand the likely spread of the disease have been instrumental. The SEIR model is
The current state of policy enforcement during an infectious disease pandemic is mostly reactive. Public health officials track changes in active cases, identify hot-spots and enforce containment policies primarily based on geographic proximity. By combining telecommunications data -- which we turn into mobility information -- with public health data of