Linear Algebra

This has always been the bottleneck for me obtaining a genuine full understanding of ML. It’s so unintuitive to me / 3D space is difficult for me to visualize / all the interchangeable properties and labels make it difficult for me to discern what things actually mean.

basics

(left off on slide 32 of lin alg review)

• matrix operations + properties

• norm

• linear algebra notation

• rotation matrix

• transformation matrix

• cross-product

• homogenous coordinates

Computer Vision

• Pixels are represented as vectors
• Images are both a matrix and vector