The SAS Data Science Blog
Advanced analytics from SAS data scientists
Case study: Computer Vision for monitoring tumors using image segmentation
Computer vision can augment radiologists and make the image interpretation process cheaper, faster and more accurate. The ultimate goal is to achieve a better patient outcome facilitated by the use of computer vision.
SASPy for Modeling
This blog focuses on using SASPy for modeling and machine learning.
Why you should add statistical learning to your machine learning tool kit
Data scientists naturally use a lot of machine learning algorithms, which work well for detecting patterns, automating simple tasks, generalizing responses and other data heavy tasks. As a subfield of computer science, machine learning evolved from the study of pattern recognition and computational learning theory in artificial intelligence. Over time, machine learning has borrowed from many