人工智能基础

【线性代数】5-3:克莱姆法则，逆和体积(Cramer's Rule,Inverses,and Volumes)

11-05

【线性代数】5-2:置换和余因子(Permutations and Cofactors)

11-03

【线性代数】5-1:行列式性质(The Properties of Determinants)

11-02

【线性代数】4-4:正交基和Gram算法(Orthogonal Bases and Gram-Schmidt)

10-19

【线性代数】4-3:最小二乘近似(Least Squares Approximations)

10-17

【线性代数】4-2:投影(Porjections)

10-17

【线性代数】4-1:四个正交子空间(Orthogonality of the Four Subspace)

10-17

【线性代数】3-6:四个子空间的维度(Dimensions of the Four Subspaces)

09-25

【线性代数】3-5:独立性，基和维度(Independence,Basis and Dimension)

09-25

【线性代数】3-4:方程组的完整解( $Ax=b$ )

09-25