In this course, students will work in groups on machine learning projects based on real-world business cases and solutions. Students will learn the project lifecycle and acquire the multidisciplinary teamwork and strategy skills required for employment. While working in domain-specific cohorts on applied machine learning business cases using problems and datasets developed by local companies, students will also explore the business case for employing machine learning solutions. By working through applied machine learning projects, students will begin to develop a portfolio of work and learn the practical skills of conceptualizing and progressing through a basic project workflow as a team. This course is taught by local experts and industry guest lecturers, so students will have the opportunity to engage industry experts and network with potential employers. Examples of domain-specific cohorts may include health, fintech, social enterprise, and environmental science & natural resources.
Note: Prerequisites: A minimum grade of C in BUSD 1201, ENGL 2510. Co-requisites: CMPT 3510 and CMPT 2400. Restricted to Machine Learning Analyst.