Extended Education

Machine Learning Algorithms and Frameworks (EEAS 0122)

Students will receive an introduction to common machine learning (ML) algorithms and how each supports different learning types in AI fields. Additionally, there is a growing body of ML frameworks and engines available to practitioners. Participants will gain a broad understanding of commonly available frameworks and tools used to design, implement, test, and deploy ML solutions on various digital platforms, and learn how to choose how to apply them in real-world and workplace situations.

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    Course length

    36 contact hours

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    Format

    Online

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    Course fees

    $869.40
    Pricing subject to change without notice

Course details

Learning outcomes

Upon completion of this course, you should be able to:

  • compare several ML algorithms and justify their use in solving various problems
  • analyze and assess a machine learning model, including its applicability to the underlying data and the quality of its output
  • discuss the process overview for the design, creating, testing, and validation of a machine learning model to solve a specific problem
  • understand various ML engines and frameworks and how to apply the most appropriate one(s) for a given situation

Schedule information

 

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Extended Education
185 Extended Education Complex
University of Manitoba (Fort Garry campus)
Winnipeg, MB R3T 2N2 Canada

extended@umanitoba.ca
204-474-8800
Toll free: 1-888-216-7011