Convergence Algorithm, Machine Learning, Gradient Descent, Global Minima, Multiple Linearregression.
value θj := θj - α (positive value)) θj := θj + negative value * Here this means we have add a negative value to the current θj to get the Global Minima Since this is an interactive process we have to add or reduce θj and get the Global Minima. Here we optimize the selection of θj values to reach