Date(s) - 06/10/2020
11:00 pm - 11:30 pm
Data Analytics – Virtual Open Class – May 2020
Unsupervised K-Means Clustering algorithm to improve the performance of supervised learning algorithms
(On Demand Recording)
This 30-minute recorded open class provides an exclusive, behind-the-scenes look at what online learning looks like in the age of COVID19. Explore one of our live, instructor-led online sessions as Instructor Zeyad Azem demonstrates how to use an unsupervised K-Means Clustering algorithm to improve the performance of supervised learning algorithms.
Instructor: Zeyad Azem, M.Sc., B.Sc.
Zeyad Azem is the Leadership Partner in Data & Analytics at Gartner focused on helping organizations across Canada build and advance their data and analytics strategies. Zeyad has been planning and implementing transformational data-driven solutions for over 20 years across a variety of sectors. Zeyad previously spent over a decade in data and analytics consulting, architecting CoE analytics practices and delivering large-scale analytics solutions for several Fortune 500 companies including RBC, TD Bank, Scotiabank, and Genworth. He brings hands-on knowledge, experience, and leadership in advanced analytics across functional areas including Risk Management, Marketing, and Product Strategy. Zeyad has built and led several lean data science teams that leveraged data and analytics to drive customer value. His experience is supported by a Bachelor of Science degrees in Physics & Computer Science from Wilfrid Laurier University and a Master of Science degree in Artificial Intelligence from the University of Guelph. Zeyad also holds executive certificates in strategy, Innovation, and leadership from MIT Sloan School of Management.
Bookings are closed for this event.