Overview
You will learn how to identify correlations and patterns in datasets, build more sophisticated predictive models using machine learning and deep learning software, and evaluate the performance of those models through individual and group based practical assignments.
This Machine Learning course from University of Waterloo is developed in partnership with the School of Continuing Studies at the University of Toronto.
What you will learn
- Find correlations between variables in a dataset.
- Identify clusters in data such as market segments.
- Predict future outcomes based on hidden relationships in historical data.
- Use tools to classify events or observations by type.
- Evaluate and combine models for best performance.
Programme Structure
- Weekly webinars review key concepts and provide an opportunity for live interaction and Q&A with the instructors. The webinars will be recorded so if you are unable to attend you can watch the webinar recording at a time that is convenient to you.
Key information
Duration
- Part-time
- 3 months
- 8 hrs/week
Start dates & application deadlines
- StartingApply anytime.
Language
Delivered
Disciplines
Artificial Intelligence Machine Learning View 14 other Short Courses in Machine Learning in CanadaAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Foundations of Data Science and Statistics for Data Science OR
- A passing grade on the prior learning assessment, conducted by the University of Toronto, for equivalent skills.
- A degree in Engineering, Mathematics, or Computer Science is recommended, but not required. Basic knowledge of programming and programming languages is strongly recommended.
Who should enrol:
- Business associates, operations managers, project managers, and intelligence analysts.
- Finance, securities, and insurance professionals.
- Digital marketing and communication specialists.
- Professionals from every level or industry who work with analytics or data.
Tuition Fee
-
International
995 CAD/fullTuition FeeBased on the tuition of 995 CAD for the full programme during 3 months. -
National
995 CAD/fullTuition FeeBased on the tuition of 995 CAD for the full programme during 3 months.
- $995.00 + applicable taxes