The obvious fields are computer graphics (all kinds: 2d, 3d rasterized and 3d raytraced are all heavy on linear algebra, though 3d rasterized is the easiest to speed up with the lockstep SIMD architectures we call GPUs) and neural networks.
Computer graphics mostly because you can view the real world as 3d space and the screen as 2d space, and linear algebra gives you all the tools to manipulate something in 3d space and project it into 2d space. Neural networks because you can treat them as matrix multiplications.
Computer graphics mostly because you can view the real world as 3d space and the screen as 2d space, and linear algebra gives you all the tools to manipulate something in 3d space and project it into 2d space. Neural networks because you can treat them as matrix multiplications.