Understanding Gradient Descent
In Gradient Descent, we start with a random value of the co-efficient improve upon it with each iteration.
Do we move on to the next co-efficient after finding the first one, or do we work on all the coefficients simultaneously?
Topic parameter-estimation gradient-descent
Category Data Science