Three flavors of gradient descent learning using a Kernel Function on high dimensional dataset...
For more details about the implementation refer to Problem 5 of the Homework 3.pdf file.
The three flavors of gradient descent implemented are:
- Batch Gradient Descent
- Stochastic Gradient Descent (1 Point)
- Stochastic Gradient Descent (100 Points)