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Master of Science in Data Science
Dina Dell'Aringa
Administrative Assistant
School of Engineering and Computer Science

Certificate in Machine Learning

About the program
Knowledge of machine learning and the solutions that it offers is a highly sought-after skill in our increasingly data-driven world. During this 10-week course, participants will enhance their understanding of the theory and methods that allow machine learning to uncover patterns, recognize relationships and create models that can learn from large data sets. In addition to a solid grounding in the theoretical foundation of machine learning, participants will go on to learn how to build practical machine learning applications, including neural networks, using R programming.

Location: Online
Duration: 10 weeks
Times: Saturday's, weekday evening
Cost: $2,490

What you will learn:

  • The statistical foundations and essential programming skills to design and develop Machine Learning solutions
  • Supervised and unsupervised learning methods, and how to apply them
  • Key techniques of classification, regression and clustering
  • How to design and develop predictive models
  • Practical case studies of Machine Learning in business and scientific environments
  • Main neural network topologies
  • How to build a Convolutional Neural Network (CNN)

Get practical, hands-on experience
You will not only learn the mathematical and programming skills necessary for a career in Machine Learning, but also practical hands-on experience in some of the latest tools used in industry today, including:

  • R and Python programming languages
  • RStudio development environment
  • Jupyter Notebook

Is the Machine Learning Certificate for you?
The Machine Learning Certificate is intended for those who wish to extend their knowledge and skills, and enhance their careers by learning the core principles and techniques for developing machine learning solutions to data-oriented problems.