2023 Summer Data Science and AI Webinar Series: Dartmouth Area SAS Users Group Virtual Meeting

Dartmouth Area SAS Users Group Meeting (Virtual via Zoom)

Improving Deep Learning Model Performance Using SAS Autotuning

Deep learning is an area of machine learning that has become ubiquitous with artificial intelligence (AI) applications, including recent advancements in generative AI. One of the most significant challenges practitioners face today is finding a model structure and corresponding set of hyperparameters that perform well on unique data with deep learning applications.

This presentation will show how SAS can alleviate the neural architecture search burden through intelligent automation using SAS autotune. We'll surface autotune using the solveBlackBox action in SAS. 

Robert Blanchard is a Principal Data Scientist at SAS where he builds end-to-end artificial intelligence applications.  He also researches, consults, and teaches machine learning with an emphasis on deep learning and computer vision for SAS. Robert has authored an introductory book on computer vision and has written several professional courses on topics including neural networks, deep learning, and optimization modeling. Before joining SAS, Robert worked under the Senior Vice Provost at North Carolina State University, where he built models pertaining to student success, faculty development, and resource management. Prior to working in academia, Robert was a member of the research and development group on the Workforce Optimization team at Travelers Insurance. His models at Travelers focused on forecasting and optimizing resources. Robert graduated with a master’s degree in Business Analytics and Project Management from the University of Connecticut and a master’s degree in Applied and Resource Economics from East Carolina University.

** Registrants will receive a zoom link one day before the webinar.