01-15

• linear regression with gradient descent
• steps:
  1. initialize theta
  2. repeat:
     • temp0 = theta_0 - alpha * d\d(theta_0)J(theta_0, theta_1)
     • temp1 = theta_1 - alpha * d\d(theta_1)J(theta_0, theta_1)
     • theta_0 = temp0
     • theta_1 = temp1
• feature scaling