Get a behind-the-scenes view of an online demo lesson delivered by one of our Big Data Analytics program instructors. In this 30-minute pre-recorded virtual open class, Instructor Zeyad Azem demonstrates how to use unsupervised K-Means Clustering algorithm to improve the performance of supervised learning algorithms.
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. 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.