Ask the Expert Webinar Series

The Data Science Productivity Gains in the SAS® Viya® Modeling Experience

June 19 • 11 a.m. ET • Cost: Complimentary

Register now

About the webinar

Good news for data scientists: did you know you can streamline your modeling experience in SAS Viya? 

Better yet, it can help you to collaborate more efficiently across your team. 

We’ll share how to integrate Enterprise Miner workflows and new techniques for model assessment and refinement.

You will learn about:

  • Auto-tuning multiple statistical and machine learning models.
  • An enhanced modeling approach and fine-tuning advanced ML algorithms.
  • Easily building sophisticated data visualizations.
  • Responsible AI, fairness, bias and interpretability.
  • A comprehensive approach to model assessment.
  • Extensive methods for model tournament and deployment.

Have a SAS profile? To complete this form automatically Sign In

 
 
 
 
 Yes
 No

All personal information will be handled in accordance with the SAS Privacy Statement.

 
  Yes, I would like to receive occasional emails from SAS and SAS business partners about their products and services. I understand I can withdraw my consent at any time by clicking the opt-out link in the emails.
 
 

About the experts

Speaker 1

Robert Blanchard

Principal Data Scientist, SAS

Robert 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.

Speaker 1

Carlos Pinheiro

Distinguished Data Scientist, SAS

Carlos is a distinguished data scientist at SAS, an adjunct faculty member at SKEMA Business School and a lecturer at the Data Science Academy at NC State University. He has been working in analytics since 1996, most of the time for telecommunications providers in Brazil. He worked as a senior data scientist at EMC and as a lead data scientist at Teradata. He holds a B.Sc. in applied mathematics and computer science, a M.Sc. in computing and a D.Sc. in engineering from Federal University of Rio de Janeiro (2005). He has accomplished a series of postdoctoral research terms in different fields, such as in dynamic systems at IMPA, Brazil (2006-2007), in social network analysis at Dublin City University, Ireland (2008-2009), in transportation systems at Université de Savoie, France (2012), in Dynamic Social Networks and Human Mobility at Katholieke Universiteit Leuven, Belgium (2013-2014) and in urban mobility and multimodal traffic at Fundação Getúlio Vargas, Brazil (2014-1015). He has published several papers in international journals and conferences; he is the recipient of U.S. patents and the author of Network Science: Analysis and Optimization Algorithms for Real-World Applications (forthcoming in 2022, Wiley), Introduction to Statistical and Machine Learning Methods for Data Science (2021, SAS), Heuristics in Analytics: A Practical Perspective of What Influence Our Analytical World (2014, Wiley) and Social Network Analysis in Telecommunications (2011, Wiley).

Register now