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Through the M4 and M5 competitions, we've seen the promising performance of machine learning approaches in generating forecasts. The SAS whitepaper "Assisted Demand Planning Using Machine Learning for CPG and Retail" describes a role for ML in augmenting the demand planning by guiding the review and override of statistical forecasts.
Last week I read an article that suggested writing a “done” list at the end of each day before identifying the 2-3 priority “to do” items for tomorrow. Ok, I’ll bite. Over the last several months I have been trying all sorts of organization and efficiency habits, so I decided
From mental health to biodiversity, SAS is committed to using data for social innovation, committing our resources, analytics expertise and software to tackle global issues. It's a vital undertaking, and we can't do it alone -- strategic partnerships are key to these efforts. Here's a quick overview of our top
On The DO Loop blog, I write about a diverse set of topics, including statistical data analysis, machine learning, statistical programming, data visualization, simulation, numerical analysis, and matrix computations. In a previous article, I presented some of my most popular blog posts from 2020. The most popular articles often deal
If you've been stuck at home a lot lately, and think you have run out of movies to watch -- think again! Here is a list of big-budget movies you might not have seen, because they flopped (lost lots of money). Follow along as I show you how I created
This, the third of three posts on our hot-fix process, provides a spreadsheet and tips to track and manage your SAS®9 environment.
Trusting myself, my body, my sensations, and my experience has been monumental in helping me sustain active living and well being. Fitness must address the human being, not just the human body and staying well requires me to trust my intuition, my experience, and my own tolerance to challenges. It
For ordinary least squares (OLS) regression, you can use a basic bootstrap of the residuals (called residual resampling) to perform a bootstrap analysis of the parameter estimates. This is possible because an assumption of OLS regression is that the residuals are independent. Therefore, you can reshuffle the residuals to get
Jamais l’industrie pharmaceutique et le secteur de la santé n’ont été l’objet d’autant d’attention de la part des professionnels certes, mais aussi des médias, des non-professionnels, malades ou non malades, internautes. Le monde entier à les yeux rivés sur chaque post, publication, innovation, news, fakes news. De la façon de
Editor's note: This blog post is part of a series of posts, originally published here by our partner News Literacy Project, exploring the role of data in understanding our world. Infographics are one of the most visual ways to tell stories with data. They are designed to catch the reader’s eye, and they use
Last year, I wrote more than 100 posts for The DO Loop blog. In previous years, the most popular articles were about SAS programming tips, statistical analysis, and data visualization. But not in 2020. In 2020, when the world was ravaged by the coronavirus pandemic, the most-read articles were related
Yazarlar: Kağan Şen & Tunay Güneş Teknolojinin gün geçtikçe ilerlemesi ile birlikte, uyduların kullanımı ileri teknoloji gerektiren alanlardan daha günlük alanlara doğru ilerlemeye başlamıştır. İlk başlarda haberleşme ve astronomi uyduları bu alanda daha çok kullanılırken, günümüzde meteoroloji uyduları, keşif (casus) uydular, seyir (navigasyon) uyduları, gözlem uyduları oldukça yaygın kullanılmaya başlanmıştır.
Herkes için analitik Analitik platformlarının gelişmesiyle beraber veri analizi ve ileri analitik tekniklerini kullanmak için kod yazma ihtiyacının azaldığını görüyoruz. İleri analitik tekniklerinin yolculuğu, algoritmaları programlama zorunluluğuyla başladı. Bu yolculuk, kütüphaneleştirilen algoritmalarla devam etti ve sadece bu kütüphanelerdeki fonksiyonları kullanarak algoritmaları kendimizin yazma ihtiyacının ortadan kalktığı bir yolda ilerledi. Şu
코로나19가 광범위하게 확산되면서 생산활동 중단, 소비 감소, 교역 감소 등 세계 경제에 심각한 타격이 이어지고 있습니다. 이 충격파를 최대한 완화하기 위해 각국 정부는 다양한 재정적 지원을 투입하고 있습니다. 그럼에도 대부분의 기업과 개인은 코로나19로 경제적 어려움을 겪고 있으며, 이로 인해 은행에서는 다음과 같은 과제에 직면하고 있습니다. 여신관리 코로나19의 영향을 가장 크고
지난 글에서는 기존 데이터 분석의 한계와 현업 사용자가 데이터 분석을 해야 하는 이유, 그리고 시티즌 데이터 사이언티스트가 되기 위한 조건을 알아봤습니다. 그렇다면 프로그래밍 기술이나 전문적인 분석 기술에는 능숙하지 않은 현업 사용자가 어떻게 데이터를 분석할 수 있을까요? 전문가 영역이었던 데이터 분석이 일반 현업 사용자로 확대되는 여러 움직임은 오래전부터 있었습니다. 그 가운데