Machine Learning with R: K-Means Clustering Online
This workshop will cover K-Means Clustering, a powerful machine-learning technique used for data segmentation and pattern recognition. K-Means is the most common clustering technique for unsupervised machine learning.
Details: This virtual workshop will be recorded. The recording will be posted to the Sherman Centre's Online Learning Catalogue.
Facilitator Bio: Amirreza is a Master’s student in the Electrical and Computer Engineering department of McMaster University with 8 years of experience in different programming languages.
- Date:
- Friday, January 26, 2024
- Time:
- 4:30pm - 6:10pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- Everyone
- Categories:
- DASH SCDS Sponsored Events Workshops
More information on Sherman Centre Events can be found on the SCDS Events page.
CODE OF CONDUCT
The Sherman Centre and the McMaster University Library are committed to fostering a supportive and inclusive environment for its presenters and participants. As a participant in this session, you agree to support and help cultivate an experience that is collaborative, respectful, and inclusive, as well as free of harassment, discrimination, and oppression. We reserve the right to remove participants who exhibit harassing, malicious or persistently disruptive behaviour. Please refer to our code of conduct webpage for more information.