這是一學期的課，目標是讓學生學習線性代數如何使用於現在的機器學習與人工智慧中。前半學期會先複習線性代數中基礎的工具，像是特徵值分解與奇異值分解。並在後半學期使用這些工具來探討如何處理實際的資料問題。

This is a one-semester course focus on the linear algebra used in AI. The goal of this course is to understanding important linear algebra operations such as eigenvalues, singular value decomposition(SVD), projection and their application in machine learning.