Linear Regression, Machine Learning, Introduction, Gradient Descent.
minimal, we need to minimize the loss function with respect to w and b. The final parameters 𝑤̂ and 𝑏̂, which minimize the loss function are then used for the final model. The process of finding the ‘best’ parameters is what we call training in Machine Learning. Train the Model via Gradient Descent