Overview
Program Learning Outcomes
Upon completion of this Machine Learning Algorithms and Frameworks course at the 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
- 1 months
Start dates & application deadlines
Language
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Credits
Delivered
Campus Location
- Winnipeg, Canada
Disciplines
Artificial Intelligence Machine Learning View 24 other Short Courses in Artificial Intelligence in CanadaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
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 Fees
-
International Applies to you
Applies to youNon-residents869 CAD / full≈ 869 CAD / full -
Domestic Applies to you
Applies to youCitizens or residents869 CAD / full≈ 869 CAD / full