title: The VC dimension of hypothesis space H1 is larger than the VC dimension of hypothesis space H2
body: <p>I have read the definition of VC dimension. But I am not clear that if <strong>the VC dimension of hypothesis space H1 is larger than the VC dimension of hypothesis space H2</strong>, then does this indicates that the number of examples required for learning a hypothesis in H1 is smaller than the number of examples required for H2 or the reverse is true.
  As I know only that VC dimension is the size of the largest finite subset of X shattered by hypothesis space H. But I don't know the relation of number of samples required from VC dimension.
  Please anyone clear me the concept in simple sentences.</p>