Webinar: Machine Learning vs Regression
Predictive analytic tools such as in machine learning methods are proving themselves to be very powerful. These tools are now more accessible than ever and easy to use in software packages like Minitab. But what are their advantages over traditional tools like multiple linear regression? This webinar will compare the predictive abilities of tree-based methods compared to traditional regression and explore some advantages and disadvantages of each.
About the Presenter
As President and Founder of Value Creation Institute, LLC, and a Certified Executive Master Black Belt (MBB), Jeff Heslop has served as an MBB for two decades. He believes that training alone is not sufficient to truly impact business without a sound deployment strategy and process, which must be dynamically flexible to meet the exacting needs of the client.
During his distinguished career, he has served as the manager of the Lean Six Sigma (LSS) Training Team at GE Aviation, a Total Quality Advisor with GE Aviation, and a Certified Executive Master Black Belt (CEMBB) through the Six Sigma Management Institute. Through his expertise and insights, Jeff has trained and mentored thousands of students from around the world, including over 130 waves of Black Belts plus Master Black Belts, Green Belts, Design for Six Sigma Black Belts, suppliers, customers, and numerous executives. He has learned directly from some of the greatest thinkers in business and quality improvement, such as Dr. W. Edwards Deming, Dr. Brian Joiner, Dr. Don Wheeler, and Dr. Mikel Harry, who co-founded Six Sigma.
Jeff received his bachelor’s degree in mechanical engineering from Kansas State University and his master's degree in statistics from Miami University of Ohio. He is a certified MBB through GE and a certified Executive MBB through Dr. Mikel Harry and the Six Sigma Management Institute.