All Posts
Las técnicas creadas a partir del Big Data han revelado múltiples aplicaciones que han servido para poner sobre la mesa los fraudes y las filtraciones masivas de información sobre temas relacionados con, por ejemplo, paraísos fiscales y evasión de impuestos. A Latinoamérica, según reportes divulgados por Global Financial Integrity, la
En situaciones donde la reducción de costos es un imperativo y las empresas carecen de presupuestos óptimos, los datos se vuelven aún más importantes de lo que eran antes de una recesión de datos. Priorizar libera resultados reales, y analizar la información de manera correcta se convierte en un punto clave. Determinar y definir qué clientes tienen mayor probabilidad
Did you know that you can now chat with SAS Technical Support? Technical Chat enables you to quickly engage with a knowledgeable consultant when you have a SAS question or need help with troubleshooting an issue.
El popular dicho español ‘El que mucho abarca poco aprieta’ ha cobrado gran relevancia en la era del análisis de datos. Cuando los data scientists, data analysts, y analistas en general realizan modelos para predecir comportamientos, tendencias, patrones, etc. se enfrentan ante el desafío de abarcar lo suficiente para apretar
Any of you who are even slightly into politics, or have followed any news lately, have probably seen something about the DNA test Elizabeth Warren took to prove/disprove her Native American ancestry. The test indicates she might have had a Native American ancestor 6 to 10 generations ago. That's a
There are four widely recognized styles of machine learning: supervised, unsupervised, semi-supervised and reinforcement learning. These styles have been discussed in great depth in the literature and are included in most introductory lectures on machine learning algorithms. As a recap, the table below summarizes these styles. For a comprehensive mapping
Have you noticed the commercials about medication for bone loss? Maybe I’m noticing more as I am in my 50s. Many don’t think a great deal about bone loss until something breaks! I know this was the case with a relative. After breaking her leg, she learned she had osteoporosis.
What can you learn about wildfires when you provide a room full of analysts with 7 years of US wildfire data and the tools they need to analyze it? A lot. At a recent data dive, we split 35 data scientists into 9 teams, provided multiple data sets containing information
필자는 데이터 전문가와 엔터프라이즈 시스템 컨설턴트로서 오랜 경력을 쌓아왔으며, 저자와 대학 교수로서 교육 활동도 진행하고 있습니다. 그 동안 200여 개의 개인, 50개 이상의 그룹을 위한 데이터 분석 프로젝트를 감독하면서 수많은 분석 프랙티스를 연구해왔는데요. 중요한 한 가지는 분석 프로젝트를 성공적으로 시작하기 위한 단 하나의 청사진은 존재하지 않는다는 것입니다. 하지만 다양한 성공 또는 실패
In a recent article about nonlinear least squares, I wrote, "you can often fit one model and use the ESTIMATE statement to estimate the parameters in a different parameterization." This article expands on that statement. It shows how to fit a model for one set of parameters and use the
El tiempo sigue corriendo y las empresas aseguradoras de diferentes latitudes se están preparando para cumplir con un nuevo estándar contable que entrará en vigor en enero de 2021: IFRS 17. International Financial Reporting Standard (IFRS) 17 establece los principios para el reconocimiento, medición, presentación y revelación de los contratos
Para gestionar apropiadamente una cartera de créditos y realizar una colocación adecuada de los recursos, las entidades financieras se ven en la necesidad de medir correctamente el riesgo de crédito. Particularmente en Argentina, la comunicación “A” 5398 del Banco Central de la República Argentina establece los lineamientos para la gestión
Deep learning has taken off because organizations of all sizes are capturing a greater variety of data and can mine bigger data, including unstructured data. It’s not just large companies like Amazon, SAS and Google that have access to big data. It’s everywhere. Deep learning needs big data, and now
What if you could automatically detect supply chain anomalies as they happen, or even predict them in advance? You'd be able to take timely corrective action and help maximize revenue, margins, customer satisfaction and shareholder value. There's no question: Supply chain planning and execution is complex. From design and sourcing, to
"Imagine being told to part with a dear friend or part of your identity. Imagine being told to discard something that results in intense feelings of anxiety, sorrow, or guilt. That’s how it can feel to someone with hoarding issues. " Dr. Annette Perot is a licensed psychologist and has