Lin Alg:  Orthogonal Complement of the Orthogonal Complement

Lin Alg: Visualizations of Left Nullspace and Rowspace

Linear Algebra: Transpose of a Vector

Vector Transformations

Linear Algebra: Vector Examples

Defining the angle between vectors

Unit Vectors

Proof: Invertibility implies a unique solution to f(x)=y

Linear Algebra: Vector Triangle Inequality

Linear Algebra:  Transposes of sums and inverses

I love khan academy so incredibly much. I wish I had known it was a thing the first go around in my studies. However the videos do jump around and I can&#39;t see anyway to fix it. I didn&#39;t notice at first, but once they started to discuss eigen values/vectors, it became drastically more difficult to follow along

Fantastic, but

I really enjoy the videos. They are a great review for me.

Great review

Linear Algebra

Compositions of Linear Transformations 1

Lin Alg:  Orthogonal matrices preserve angles and lengths

Lin Alg: Finding projection onto subspace with orthonormal basis example

Compositions of Linear Transformations 2

Lin Alg: Representing vectors in Rn using subspace members

Determining whether a transformation is onto

Linear Algebra: Matrix Product Examples

Linear Alg: Projection is closest vector in subspace

Linear Algebra: Subspace Projection Matrix Example

More on Matrix Addition and Scalar Multiplication

Null Space 2: Calculating the null space of a matrix

Distributive Property of Matrix Products

Defining a plane in R3 with a point and normal vector

Expressing a Projection on to a line as a Matrix Vector prod

Null Space 3: Relation to Linear Independence

Linear Algebra: Parametric Representations of Lines

Showing relation between basis cols and pivot cols

Preimage of a set

Matrix Product Associativity

Matrix Vector Products as Linear Transformations

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