中文课程简介

本课程主要介绍统计学习和机器学习的理论，包括线性模型和广义线性模型、机器学习中的稀疏性和低阶问题、随机系统和高维统计中的优化理论。

英文课程简介

This course mainly introduces theories about statistical learning and machine learning, including linear models and generalized linear models, sparsity and low-rank problems in machine learning, stochastic systems and optimization theory in high-dimensional statistics.