Least squares loss

• 
• $L[\varphi ]={\Sigma }_{t=1}^t(y_i-f[x_i,\varphi ]{)}^2$
• Assumptions : independent, drawn from a Normal Distribution with mean $\mu =f[x_i,\varphi ]$