reorganized lecture to add matrix factorization per the sylllabus

index.html

@@ -121,11 +121,11 @@ <h2 style="margin-top: -350px;">Advanced Machine Learning</h2>
 <tr><td>  11 </td><td> 27-Sep-2023  </td><td>  <a href="cs8850_11_logistic_regression.html">Logistic Regression</a>  </td><td> </td></tr>
 <tr><td> 12 </td><td> 02-Oct-2023 </td><td> <a href="cs8850_12_kde_etc.html">Kernel Density Estimation</a></td><td>             </td></tr>
 <tr><td> 13 </td><td> 04-Oct-2023 </td><td> <a href="cs8850_13_svm.html">Support Vector Machines</a>                </td><td>     </td></tr>
-<tr><td> 14 </td><td> 09-Oct-2023 </td><td> <a href="cs8850_14_factorization.html">what is this</a>           </td><td>   <em></em>         </td></tr>
 <tr  style='background-color: #E5DDCB;'><td>    </td><td> 10-Oct-2023 </td><td>            </td><td>   <em>midpoint</em>         </td></tr>
-<tr><td> 15 </td><td> 1-Mar-2023  </td><td>   <a href="cs8850_15_SGD.html">Stochastic Gradient Descent</a>   </td><td>    </td></tr>
-<tr><td> 16 </td><td> 6-Mar-2023  </td><td> <a href="cs8850_16_kmeans.html">K-means clustering</a> </td><td></td></tr>
-<tr><td> 17 </td><td> 8-Mar-2023  </td><td>     <a href="cs8850_17_EM.html">Expectation Maximization</a>                </td><td>   </td></tr>
+<tr><td> 14 </td><td> 16-Oct-2023 </td><td> <a href="cs8850_14_factorization.html">Matrix Factorization</a>           </td><td>   <em></em>         </td></tr>
+<tr><td> 15 </td><td> 18-Oct-2023  </td><td>   <a href="cs8850_15_SGD.html">Stochastic Gradient Descent</a>   </td><td>    </td></tr>
+<tr><td> 16 </td><td> 23-Oct-2023  </td><td> <a href="cs8850_16_kmeans.html">K-means clustering</a> </td><td></td></tr>
+<tr><td> 17 </td><td> 25-Oct-2023  </td><td>     <a href="cs8850_17_EM.html">Expectation Maximization</a>                </td><td>   </td></tr>
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