Stu is a Senior Product Manager for Open Source Data Science at SAS with a vision to advance high performance composite AI that is accessible by data scientists of all programming backgrounds. He earned a BS in Statistics in 2012 from North Carolina State University and an MS in Advanced Analytics from the Institute for Advanced Analytics in 2013. In previous roles, Stu served as Product Manager for augmented analytics and as a Data Scientist specializing in forecasting, statistical analysis, and business intelligence. Stu champions industry-leading analytics experiences, empowering data scientists to make intelligent, data-driven decisions that shape their organizations' futures.
Discover how Python developers can work directly in SAS Viya using the SAS Extension for VS Code, combining Python, SAS, SQL, and open data formats in a familiar development experience that is ready for production.
Want the flexibility of modern Python development with the power of SAS behind it? Explore how SAS Viya Workbench combines familiar tools, on-demand compute, and Python-native access to advanced SAS algorithms in a single browser-based environment.
In my first article on hyperparameter autotuning, I used a cake analogy to show how to use hyperparameter autotuning with Optuna and the sasviya.ml package in Python to improve detecting Higgs bosons in a particle accelerator. SAS Viya Workbench now supports hyperparameter autotuning in SAS code with a variety of
