SDSC6001 - Statistical Machine Learning II | ||||||||||
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* The offering term is subject to change without prior notice | ||||||||||
Course Aims | ||||||||||
This course focuses on the theoretical foundation and fundamental methods in unsupervised and supervised learning, and Deep learning methods as well as the discipline of applying Python to program and implement aforementioned algorithms and methods. | ||||||||||
Assessment (Indicative only, please check the detailed course information) | ||||||||||
Continuous Assessment: 100% | ||||||||||
Detailed Course Information | ||||||||||
SDSC6001.pdf | ||||||||||
Useful Links | ||||||||||
School of Data Science |