title: Logistic Regression in Machine Learning
body: <p>I'm researching on the topic of "logistic Regression" in machine learning.I could understand the entire concept that it's trying to maximize the likelihood of an instance belonging to a particular class label </p>
  
  <p>The  algorithm, if run for many iterations, finds a weight vector that separates the instances and then keeps increasing the magnitude of the weight vector.  I donot understand why would it try to increase the magnitude of weight vector</p>
  
  <p>Any Help would be highly appreciable!</p>