title: supervised learning,unsupervised learning ,regression
body: <p>I know that:</p>
  
  <ol>
  <li>unsupervised learning is that of trying to find hidden structure in
  <strong>unlabeled</strong> data,otherwise ,we call it supervised learning.</li>
  <li>regression is also a type of classification ,except that its output
  is <strong>infinite</strong> number of numeric numbers.</li>
  <li>I also know that classification is a type of supervised learning.</li>
  </ol>
  
  <p>But what make me confused is:</p>
  
  <ol>
  <li>linear regression(line fitting) is a type of regression? if so , why its data is
  unlabeled?For example, its sample data is just a quantity of
  coordinates like (1,2),(2,3),(1,4)?</li>
  <li>logistic regression(classification) is a type of regression ?if so ,why its output is
  just norminal(value,true of false ,0 or 1)?</li>
  </ol>
  
  <p>Anyone can help me figure out this?</p>