SDSC4016 - Fundamentals of Machine Learning II | ||||||||||
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| * The offering term is subject to change without prior notice | ||||||||||
Course Aims | ||||||||||
This elective course provides students who have the basic foundations of machine learning with an intensive studies of advanced machine learning and deep learning techniques for data science. Topics include traditional machine learning models, deep learning techniques and other related methods. | ||||||||||
Assessment (Indicative only, please check the detailed course information) | ||||||||||
Continuous Assessment: 80% | ||||||||||
Examination: 20% | ||||||||||
(open-book taken-home programming exam) Note: To pass the course, apart from obtaining a minimum of 40% in the overall mark, a student must also obtain a minimum mark of 30% in both continuous assessment and examination components. | ||||||||||
Detailed Course Information | ||||||||||
| SDSC4016.pdf | ||||||||||
