
University of Toronto
Rotman School of Management
Executive Programs
Kyle Fokma
Machine Learning in Business
John Hull, Professor of Finance
Maple Financial Group Chair in Derivatives and
Risk Management Academic Director, Rotman Financial
Innovation Hub

hereby certifies that
has successfully completed the

May 2021
Kyle Fokma
Machine Learning, a sub-domain of Artificial Intelligence, employs techniques used for analyzing large data sets and making predictions. These techniques are being adopted by organizations across all industries and all functional areas to achieve better outcomes – whether in healthcare for better patient outcomes or in financial services to stave off bad risk.
In order to reach optimal performance, you need to adopt the mindset and language of data scientists. In Machine Learning in Business, Rotman delivers just that — the bridge for business professionals to communicate effectively with analysts and data scientists to drive better business outcomes.
Skills / Knowledge
- Leverage Data to achieve better outcomes
- machine learning applications
- processes your data
- strategies with your data science team
- machine learning algorithms
- automating routine decisions
Issued on
May 29, 2021
Expires on
Does not expire