Gradient Descent Algorithm is often used to minimize functions. In other words, when present with a function [math]f(x_1, x_2, x_3, ..., x_n)[/math] gradient descent algorithm attempts to find values of [math]x_1, x_2, x_3, ..., x_n[/math] so that the value of function f is minimized. The only problem with gradient descent algorithm is that it converges to a local minim... (more) Bayesian Spam Filters piggyback on the Bayes Rule which predicts the posterior probability of an event when presented with prior probability and likelihood of the event.
Lets do a quick review of the probability.
The world has become incredibly data rich. Eric Schmidt once said "Every two days now we create as much information as we did from the dawn of civilization up until 2003". That is something like five exabytes of data. It has become extremely important to process the data generated and see if any ... (more)