Linear Regression, Machine Learning, Introduction, Gradient Descent.
considered to be depending on w, and b is held constant. Gradient descent illustrated for mean squared error as loss function The idea of gradient descent is to start with some value for w (𝑤_1) and then take small steps towards the minimum — and “towards the minimum” means to move into the