This reference describes the indicated catalogue. Check with the institution to confirm the current offer and the conditions applicable to your intake.
Description
Applied Machine Learning Regression and regularization, probabilistic methods, dimension reduction, clustering. Supervised, unsupervised, and reinforcement learning. Data preprocessing. Hands-on experience with machine learning toolboxes. Applications in engineering. Lectures, 3 hours per week; lab, 2 hours per week Restriction: open to BEng majors. Prerequisite(s): IENG 2P12 Corequisite(s): IENG 3P12 Note: completing a mini-project in conjunction with IENG 3P12 Automation and Robotics is required.
Prerequisites
- Prerequisite(s): IENG 2P12
Conditions and arrangements
- Restriction: open to BEng majors.
- Prerequisite(s): IENG 2P12
- Corequisite(s): IENG 3P12
- Note: completing a mini-project in conjunction with IENG 3P12 Automation and Robotics is required.
Reference text in its original language
Applied Machine Learning Regression and regularization, probabilistic methods, dimension reduction, clustering. Supervised, unsupervised, and reinforcement learning. Data preprocessing. Hands-on experience with machine learning toolboxes. Applications in engineering. Lectures, 3 hours per week; lab, 2 hours per week Restriction: open to BEng majors. Prerequisite(s): IENG 2P12 Corequisite(s): IENG 3P12 Note: completing a mini-project in conjunction with IENG 3P12 Automation and Robotics is required.
- Prerequisite(s): IENG 2P12
- Restriction: open to BEng majors.
- Corequisite(s): IENG 3P12
- Note: completing a mini-project in conjunction with IENG 3P12 Automation and Robotics is required.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://brocku.ca/webcal/2024/undergrad/engs.html