


THIS IS TO CERTIFY THAT
Tricia Becker
HAS ATTENDED AND SUCCESSFULLY COMPLETED
Applied Machine Learning
January 2024




Jenny Mak Ed.D.
Bob Halperin
Academic Director
EMERITUS
Senior Associate Dean, Academic Programs Columbia Engineering
Tricia Becker
The Applied Machine Learning course teaches you a wide-ranging set of techniques of supervised and unsupervised machine learning approaches using Python as the programming language. This will provide you with the programming knowledge required to do the assignments and application projects that are part of the Applied Machine Learning course. Going beyond the theory, our approach invites participants into a conversation, where learning is facilitated by live subject matter experts and enriched by practitioners in the field of machine learning
Skills / Knowledge
- Build regression models
- Create classification models
- Develop unsupervised models
- Determine hidden parameters in data
- Create probabilistic data models
Issued on
January 17, 2024
Expires on
Does not expire