I get the sentiment but linear algebra is a primary method used in certain in machine learning frameworks (e.g. training neural nets). Personally I think linear

I get the sentiment but linear algebra is a primary method used in certain in machine learning frameworks (e.g. training neural nets). Personally I think linear regression (which also relies on linear algebra) is erroneously considered machine learning. To me the distinction is whether you provided a series of labeled data to incrementally train and improve the model and work towards some minima (i.e. learning), or did you use a method that ingests all available data to derive a one-shot solution.