Highlights
Tuition fee
1199 CAD / full
1199 CAD / full
Unknown
Tuition fee
1199 CAD / full
1199 CAD / full
Unknown
Duration
3 months
Duration
3 months
Apply date
Anytime
Anytime
Unknown
Apply date
Anytime
Anytime
Unknown
Start date
Unknown
Start date
Unknown
Taught in
English
Taught in
English

About

This Machine Learning course at the University of Waterloo is developed in partnership with the School of Continuing Studies at the University of Toronto.

Overview

This Machine Learning course at the University of Waterloo will equip you with the basic machine learning and artificial intelligence (AI) tools for mining datasets, and extracting insights for decision making.

Features

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.

Programme Structure

Modules include:

  • The Machine Learning Process: A Worked Example
  • Classification
  • Unsupervised Learning and Clustering
  • Training Models and Feature Selection
  • Dimensionality Reduction
  • Support Vector Machines (SVM)
  • Decision Trees, Ensemble Learning, and Learning Forests
  • Neural Networks and Keras
  • Optimizing Deep Neural Networks
  • Using TensorFlow Interactively and Using Custom Functions

Key information

Duration

  • Part-time
    • 3 months
    • 8 hrs/week

Start dates & application deadlines

Language

English

Delivered

Online

Campus Location

  • Waterloo, Canada

What students do after studying

Join for free or log in to access our complete career info list.

Academic 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 Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    1199 CAD / full
    1199 CAD / full
  • Domestic

    Citizens or residents
    1199 CAD / full
    1199 CAD / full

Funding

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