• Tailoring Machine Learning Practices to Support Prescriptive Analytics

    Daugherty Business Solutions

    Training and research in machine learning revolve around building models with the highest predictive accuracy possible. However, when predictive models are later used for prescriptive purposes, accuracy is often not the primary metric of interest. Models are used prescriptively in different ways: to make decisions, optimize processes, develop strategies… and for different purposes: medical diagnosis, agricultural planning, investment… These differences and the situations and outcomes of interest in specific cases, force data scientists to tailor their practices and decisions to fit them. Supporting prescriptive analytics changes the optimal approach to things like feature selection, model selection, and parameter tuning; and often requires the use of additional tools for things like calibration (for probabilistic classifiers) and explainers (for interpretability). These difficulties and the changes they make to the data science workflow will be discussed and examples from test data and hypothetical scenarios will be given. About the speaker Haitao Li is an Associate Professor and Chair of the Supply Chain & Analytics Department, College of Business Administration at University of Missouri – St Louis (UMSL). He holds his Ph.D. degree in Operations Management (2005), Master of Arts in Economics (2002) from University of Mississippi, and Bachelor of Engineering in Foreign Trade in Industry with a minor in Aeronautical Engineering from Beijing University of Aeronautics and Astronautics, P.R. China (2000). Dr. Li has years’ of research experience in optimization modeling and algorithm design, and has been actively working with industry and research institutes in the application domains of supply chain optimization, project scheduling and resource allocation. He worked as a Statistical Analyst at the Naval Personnel Research, Study and Technology (NPRST) in Millington, TN in 2004, a Visiting Scholar at the Hewlett-Packard Laboratory (HPL) in Palo Alto, CA in 2005, and Research Consultant for HP Enterprises from 2010 - 2016. He has published in reputable scholarly journals including European Journal of Operational Research, Omega, Decision Sciences, Journal of the Operational Research Society, Computers and OR, Interfaces, Military Operations Research, Journal of Scheduling, Annals of Operations Research, among others. He was a recipient of the Young Investigator Award from the US Army Research Office (ARO) in 2010, the Douglas Durand Award for Research Excellence of UMSL in 2015. With two U.S. Patent applications and a number of invention disclosures, he was named 2015 UMSL Inventor of The Year. Dr. Li currently serves as Associate Editor of the Journal of the Operational Research Society, and Editorial Board member of the International Journal of Project Management. Agenda 6:00 - 6:30 - Food and Networking 6:30 - 7:30 - Presentation 7:30 - 7:45 - Questions

  • December Meeting - St. Louis

    Daugherty Business Solutions

    Agenda 6:00 - 6:30 - Food and Networking 6:30 - 7:30 - Presentation 7:30 - 7:45 - Questions