In the second of two Q&As with R&D colleagues, SAS' Udo Sglavo provides a window into how we approach drug-development challenges with machine learning.
Data visualization is a critical way for anyone to turn endless rows of data into easy-to-understand results through dynamic and understandable visuals. Whether your favorite visualization is a pie chart, a geographic map or relies on natural language, showing the insights that empower you to make more informed decisions is a better way to do data-driven business. Analyst firms say that SAS has market-leading data visualization. This helps users across the globe find insights in their data using new and exciting trends in data visualization.
A note from Udo Sglavo: At SAS, what we deliver to our customers is a product of creative minds thinking differently, challenging the norm, taking risks, and learning from trial and error (The greatest teacher, failure is). For the return of World Creativity & Innovation Week, we want to share
SAS' Brian Gaines provides a primer on GAMs.
SAS' Xuejun Liao weighs the pros and cons of collaborative filtering and supervised learning and explores their use in a unified framework.
If you are an Enterprise Miner user, do not miss the opportunity to try out Model Studio in SAS Viya. I am sure you will love it!
The application of IoT devices and artificial intelligence in healthcare presents numerous opportunities in use cases like training, research, end-of-life care, treatment, keeping well, early detection, diagnosis, and decision-making.
With modern advancements in artificial intelligence, we can teach computers to achieve super-human performance in retro videogames.
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.
