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必修课

机器学习

This course introduces basic theory, methodologies and tools for machine learning. It will cover supervised learning (support vector machine, neural network and kernel methods), unsupervised learning (ensemble, dimension reduction and deep learning), and applications of machine learning.


数据挖掘

网络分析

优化理论与建模

大数据建模与管理

数据库原理与开发

金融科技理论与实践

课程设置