The classic undergraduate course focusing on matrix factorizations and core concepts.
Fitting lines and curves to messy, real-world data. lecture notes for linear algebra gilbert strang pdf
3. Matrix Methods in Data Analysis, Signal Processing, and Machine Learning and Machine Learning