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The Chinese University of Hong Kong
modern data analysis techniques that are commonly used in financial and risk management. Topics include applications of multivariate techniques such as principal component and canonical correlation to asset management, Value-at-Risks, GARCH model in estimating volatility, time series methods in term-structure analysis, and data mining methods such as logistic regression, k-means clustering and classification tree, and neural network.
30%group project( process a database) three assignments totally worth 15%, 55% for the final (closed book) examination
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logistic regression, PCA, classification tree, neural network，比CS系的machine learning有逻辑性
machine learning, c-tree, some data analysis skills
There will be three assignments totally worth 15% and a group project worth 30% with the remaining 55% for the final (closed book) examination.
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