MSc in Computing Science - Machine Learning (Thesis-based) in Edmonton Canada | University of Alberta

Machine learning offers techniques and systems for uncovering meaningful insights in data, like identifying connections between medical test outcomes and treatment effectiveness. It's particularly useful when working with existing training datasets (such as collections of case studies) and when developing custom solutions would be impractical or too expensive.

As an established technology, machine learning has made substantial contributions across both commercial and scientific domains. Its applications span diverse fields including healthcare, petroleum exploration, genetic research, and industrial automation, among others.

This research group maintains strong connections with several adjacent disciplines such as bioinformatics, database systems, data mining, computer vision, and robotics. For graduate students, there's an opportunity to pursue a specialized focus in Statistical Machine Learning through a collaborative program with Mathematics and Statistical Sciences departments.