Advanced Statistical Computing II

3 units

This is the second course on advanced methods and tools for Statistical Computing. This course will introduce classical methods, including the EM algorithm and its variants. It also will cover basic convex optimization theory and advanced computing tools and techniques for big data and learning algorithms. Experience with a high-level programming language like R, Python, C++, etc. is recommended.