The SAS Data Science Blog
Advanced analytics from SAS data scientists
Find out how SAS Tax Compliance for Sales Tax addresses the tax gap and helps agencies overcome their resource constraints through SAS technology, robust analytics, and process automation.
SAS/STAT offers a principled treatment of missing data in a frequentist paradigm. SAS' Michael Senter reveals how with a few code tweaks, you can seamlessly transition to a Bayesian analysis.
SAS's Ann Kuo walks you through how SAS Tech Support developed an email classifier to clean up spam and misaddressed emails using SAS Viya's NLP-based text classifier
SAS' Sophia Rowland breaks down the roles of each team member in a long-term machine learning project and how they can better combine their efforts to increase efficiency and efficacy
AI is increasingly prevalent in our daily lives, and this trend is unlikely to change anytime soon. This comes with risks, but by understanding these risks, we can build AI systems that mitigate them.
SAS' Natalie Patten shows you the potential of integrating a country classification transformer into data cleansing workflows.