This course gives an overall view of the modern statistical/machine learning techniques for mining massive datasets, ranging from generalized linear models, over model selection, to the state-of-the-art techniques like LASSO, neural networks, etc. This course will not only discuss individual algorithms and methods, but also tie principles and approaches together from a theoretical perspective. Moreover, students can gain a hands-on experience through team project. This course equips students with the necessary skills for being a data analyst.
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