Profile
This module is part of the Post-Diploma Certificate in Applied Artificial Intelligence (Specialist Diploma in Applied Generative Artificial Intelligence).
What You'll Learn
This module covers basic concepts in machine learning and the use of various open-source libraries like scikit-learn, Tensorflow and Keras to build basic machine learning application with perceptron, K nearest neighbors, neural networks, SVMs, decision trees and unsupervised learning. Students will also be introduced to XGBoost and other ensemble methods to solve classification and regression problems.
Minimum Entry Requirement
At least a local Polytechnic Diploma or recognized Degree in science, engineering, technology, or any other disciplines with at least three (3) years of relevant work experience.
Recognition of prior learning: Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or entrance test.