Linear Regression, Machine Learning, Introduction, Gradient Descent.
Now let’s consider the process of finding the optimal parameters 𝑤̂ and 𝑏̂, i.e. the training. For a simple Linear Regression, we could solve this minimization problem analytically. (That is calculate the derivative and set it to zero). However, in practice — when it comes to coding — iterative