Linear regression usually involves building a simple intelligence (single-neuron neural network) to estimate a value or values given data. I wondered about ways to estimate without having to build an intelligence (“what is ‘intelligent’ about linear regression? it is a system that learns from data — how remove ‘intelligence’ from this? maybe remove gradient descent?”), and I remembered the Normal Equation. What are you all’s thoughts?