Linear Regression, Gradient Descent, Machine Learning, Deep Learning, Naem Azam.
the previous article you’ll know that in Linear Regression we need to find the line that best fits the curve. That line was given by the following Hypothesis:- our aim was to find the parameters θ0, θ1,…,θn. Now in OLS we simply had a formula that when fed the input found the θ matrix. But in