Remove mention of formulating cost functions, etc

index.html

@@ -151,11 +151,6 @@ <h3>Prerequisites</h3>
       <li>
         <b>Basic Probability and Statistics</b> (e.g. CS 109 or equivalent) <p>You should know the basics of probabilities, Gaussian distributions, mean, standard deviation, etc.</p>
       </li>
-      <li>
-        <b>Foundations of Machine Learning</b> (e.g. CS221, CS229, CS230, CS124, or CS224n) <p>We will be formulating cost functions, taking derivatives and performing optimization with gradient descent. If you already have basic machine learning and/or deep learning knowledge, the course will be easier; however it is possible to take CS 336 without it. There are many introductions to ML, in webpage, book, and video form. One approachable introduction is Hal Daum&eacute;’s in-progress <a href="http://ciml.info">
-            <i>A Course in Machine Learning</i>
-          </a>. Reading the first 5 chapters of that book would be good background. Knowing the first 7 chapters would be even better! </p>
-      </li>
     </ul>
   </div>
   <!-- Coursework -->