TGGS > ECE > 546
Machine Learning
Introduction of machine learning. Mathematics and statistics for machine learning. Data processing. Various machine learning models both supervise and unsupervised learning e.g. Regression, Classification, Clustering, Reinforcement learning models.
Instructor(s) : S. Tanachutiwat
Credits : (3-0-6)
Course Learning Outcome (What are they?)
| ELO1 | ELO2 | ELO3 | ELO4 | ELO5 | ELO6 | ELO7 | ELO8 | ELO9 | ELO10 |
| Morale and Ethics | Knowledge | Intellectual Skill | Interpersonal Skill and responsibility | Analytical, communications and IT skills | ||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | 6 |
Revision : July 2020
Other Revisions : April 2022