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Overview
Program Learning Outcomes
Upon completion of this Machine Learning Algorithms and Frameworks course from University of Manitoba, you should be able to:
- compare several ML algorithms and justify their use in solving various problems
- apply heuristic derivation, dimensionality reduction, and gradient boosting algorithms
- attribute clustering and classification to various problems
- understand various ML engines and frameworks and how to apply the most appropriate one(s) for a given situation
Programme Structure
The course focuses on:
- ML frameworks
- ML algorithms
- Understanding of commonly available frameworks and engines used to design, implement, test, and deploy ML solutions
Key information
Duration
- Part-time
- 42 days
Start dates & application deadlines
- StartingApply anytime.
Language
English
Credits
3 alternative credits
Delivered
Online
Disciplines
Artificial Intelligence Machine Learning View 27 other Short Courses in Artificial Intelligence 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
- Grade 12 diploma or equivalent, or mature student status. If primary language is not English, proof of English proficiency is required.
Tuition Fee
To always see correct tuition fees
-
International
800 CAD/fullTuition FeeBased on the tuition of 800 CAD for the full programme during 42 days. -
National
800 CAD/fullTuition FeeBased on the tuition of 800 CAD for the full programme during 42 days.
Funding
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