Machine Learning (Part of SCTP)
About This Course
This course introduces machine learning, covering both supervised and unsupervised algorithms. Bias-variance trade-off is discussed for selecting the appropriate models. Neural networks and convolutional neural networks are introduced. Students have the opportunity to deploy the algorithms and fine-tune the parameters. Students are required to develop and deploy a machine learning algorithm to solve a real-world challenge.
This course is part of the 12-month (SCTP) Certificate in Electronics.
What You'll Learn
• Construct support vector machines for classification
• Set up decision trees, random forest for classification
• Rate the performance of clustering algorithm
• Design neural network based classifiers
• Propose suitable machine learning algorithms
• Estimate the performance metrics of learning algorithms
• Assess the impact of hardware performance on the machine learning algorithms
Entry Requirements
Individuals must meet all the requirements below in order to be eligible to apply for the programme:
• Singapore Citizen or Singapore Permanent Resident
• At least 21 years old
• Self-sponsored learners (either unemployed or in-employment individuals)
• Currently pursuing the SUSS BEng Electronics (Part-Time Degree Programme)