SAS' Courtney Ambrozic highlights how to use SAS VDMML to assess lesion response to chemotherapy for patients with colorectal liver cancer.
Corpus analysis is a technique widely used by data scientists because it provides an understanding of a document collection and provides insights into the text.
SAS' Pankaj Telang shows you new image-specific processing capabilities in SAS Visual Data Mining and Machine Learning.
SAS' Yongqiao Xiao, Maggie Cech and Patrick Koch describe an ONNX model in ASTORE and demonstrate how to use the information to save an ONNX model to an analytic store.
SAS' Kelly Fellingham, an advanced analytics software developer, reveals how SAS software's new SASEBEA interface helps you identify patterns in US economics data.
Active gratitude is the feeling you get when a stranger does something nice for you without expecting anything in return. While both are beneficial for our health, there is a statistically significant, positive correlation between active gratitude and pro-sociality (r = 0.374), that is not present with passive gratitude. In other words, random acts of kindness trigger other random acts of kindness to other people, which is both good for us and good for society.
A team of SAS employees recently participated in a data-for-good project focusing on forest fires in the Amazon. In conjunction with the Amazon Conservation Association (ACA), the team explored options to collect and analyze publicly available imagery and fire data to better understand the drivers for forest fires as well
In a Q&A with SAS' Udo Sglavo, Xilong Chen of SAS parses the work of 2021 Nobel Prize winners for Economics.
SAS' Hamza Ghadyali introduces you to JupICL, a SAS field-tested, easy-to-use, customizable image labelling tool that runs entirely inside a Jupyter notebook.
[Editor's note: this post was co-authored by Marinela Profi and Wilbram Hazejager] Data science teams are multidisciplinary, each with different skills and technologies of choice. Some of them use SAS, others may have analytical assets already built in Python or R. Let's just say each team is unique. As part
