Colloquium / Seminars

• Topic：Short Course: Matrix Methods in Data Science

• Speaker：Prof. Chern-Shuh Wang
  　　　　(Dept. of Mathematics, National Cheng Kung University)

• Date time：July 16,21,23,28,31, Aug. 4, 13:30~15:30

• Venue：SA223

• Abstract：
  

  In this short course, we will introduce some important matrix computation skills for data analysis, including SVD, sparse low-rank matrix factorizations, special matrices, etc.
  •
  Reference：
  1.GilbertStrang, (2019), Linear Algebra And Learning From Data, Wellesley-Cambridge Press
  2.Ethen Apaydin, Introduction to ML, 2nd ed., 2010

• Download：Poster20200716.pdf

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