8
Product Design with Machine Learning
10 am - noon (7 Monday's)Virtual Event
This seminar provides an introduction to machine learning concepts and vocabulary to facilitate ML and AI-based product design, specification, and development.
Participants will engage in the entire product design life cycle, including problem specification, data collection and curation, selecting appropriate ML techniques, iterative development, specifying and evaluating performance, marketing considerations, and continuous improvement.
Participants will also learn about identifying and addressing bias in data sets, evaluating customer consequences of false results, and the challenges of interpreting the outputs of ML/AI systems.
Objective:
The goal of this seminar is to enable you to make more informed decisions about product development cycles, expectations, design choices, costs, and data collection processes and management.
Program Eligibility:
This program is a right for you if:
✓ You have a bachelor’s degree
✓ You can commit to four hours a week of coursework
✓ You are a product manager, developer, project manager or marketing professional, and want to learn how to better contribute to the product development process using machine learning
Duration:
7 Monday’s, 10 a.m. – noon Pacific (Virtual)
You will have the option to attend the final session on December 20 in-person at our campus at 333 Seymour in downtown Vancouver.
More details and registration information available here.
Fee:
CAD 3,250
This is an introductory fee for this workshop courtesy of Northeastern University and Athena Digital Leaders. (Regular fee CAD 6000)
If you are a woman based in BC, Canada, you may be eligible for a $500 scholarship refund through Athena Pathways after the completion of this workshop. For details contact Norma Sheane
Facilitator:
Bruce Maxwell
Director of Computing Programs, Roux Institute, Northeastern University
Bruce Maxwell is director of computing programs and Visiting Professor of Computer Science at Northeastern’s Roux Institute. Maxwell is also a professor and former chair of the Computer Science Department at Colby College, a Roux Institute academic partner. Maxwell has extensive experience creating innovative educational programs as well as expertise in computer vision, robotics, computer graphics, and data science. He holds a Ph.D. in Robotics from Carnegie Mellon and a M.Phil in Computer Speech and Natural Language Processing from Cambridge University.