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@sergeyplis
sergeyplis committed Aug 26, 2024
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Expand Up @@ -100,32 +100,32 @@ <h2 style="margin-top: -350px;">Advanced Machine Learning</h2>
<th>description</th>
</tr>
<tr><td>1</td>
<td> 21-Aug-2023 </td>
<td> 26-Aug-2024 </td>
<td> <a href="cs8850_01_intro.html">Introduction and Introductions</a> </td>
<td> </td>
</tr>
<tr><td>2</td>
<td> 23-Aug-2023 </td>
<td> 28-Aug-2024 </td>
<td> <a href="cs8850_04_LArecap.html">Recap of Linear Algebra and ML Math</a> </td>
<td> </td>
</tr>
<tr><td> 3 </td><td> 28-Aug-2023 </td><td> <a href="cs8850_02_erm.html">Foundations of Learning</a> </td><td> </td></tr>
<tr><td> 4 </td><td> 30-Aug-2023 </td><td> <a href="cs8850_03_pac.html">PAC Learning</a> </td><td> </td></tr>
<tr style='background-color: #FBEEC2;'><td> </td><td> 04-Sep-2023 </td><td> <em>Labor Day Holiday</em> </td><td> </td></tr>
<tr><td> 5 </td><td> 06-Sep-2023 </td><td> <a href="cs8850_05_linear.html">Linear Learning Models</a> </td><td> </td></tr>
<tr><td> 6 </td><td> 11-Sep-2023 </td><td> <a href="cs8850_06_pca.html">Principal Component Analysis</a></td></td></td><td> </td></tr>
<tr><td> 7 </td><td> 13-Sep-2023 </td><td> <a href="cs8850_07_curse.html">Curse of Dimensionality</a> </td><td> </td></tr>
<tr><td> 8 </td><td> 18-Sep-2023 </td><td> <a href="cs8850_08_bayes.html">Bayesian Decision Theory</a></td><td> </td></tr>
<tr><td> 9 </td><td> 20-Sep-2023 </td><td> <a href="cs8850_09_MLE.html">Parameter Estimation: MLE</a> </td><td> </td></tr>
<tr><td> 10 </td><td> 25-Sep-2023 </td><td> <a href="cs8850_10_naive_bayes.html">Parameter Estimation: MAP+Naive Bayes</a> </td><td> </td></tr>
<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 style='background-color: #E5DDCB;'><td> </td><td> 10-Oct-2023 </td><td> </td><td> <em>midpoint</em> </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>
<tr style='background-color: #FBEEC2;'><td> </td><td> 02-Sep-2023 </td><td> <em>Labor Day Holiday</em> </td><td> </td></tr>
<tr><td> 3 </td><td> 04-Sep-2024 </td><td> <a href="cs8850_02_erm.html">Foundations of Learning</a> </td><td> </td></tr>
<tr><td> 4 </td><td> 09-Sep-2024 </td><td> <a href="cs8850_03_pac.html">PAC Learning</a> </td><td> </td></tr>
<tr><td> 5 </td><td> 11-Sep-2024 </td><td> <a href="cs8850_05_linear.html">Linear Learning Models</a> </td><td> </td></tr>
<tr><td> 6 </td><td> 16-Sep-2024 </td><td> <a href="cs8850_06_pca.html">Principal Component Analysis</a></td></td></td><td> </td></tr>
<tr><td> 7 </td><td> 18-Sep-2024 </td><td> <a href="cs8850_07_curse.html">Curse of Dimensionality</a> </td><td> </td></tr>
<tr><td> 8 </td><td> 23-Sep-2024 </td><td> <a href="cs8850_08_bayes.html">Bayesian Decision Theory</a></td><td> </td></tr>
<tr><td> 9 </td><td> 25-Sep-2024 </td><td> <a href="cs8850_09_MLE.html">Parameter Estimation: MLE</a> </td><td> </td></tr>
<tr><td> 10 </td><td> 30-Sep-2024 </td><td> <a href="cs8850_10_naive_bayes.html">Parameter Estimation: MAP+Naive Bayes</a> </td><td> </td></tr>
<tr><td> 11 </td><td> 02-Oct-2024 </td><td> <a href="cs8850_11_logistic_regression.html">Logistic Regression</a> </td><td> </td></tr>
<tr><td> 12 </td><td> 07-Oct-2024 </td><td> <a href="cs8850_12_kde_etc.html">Kernel Density Estimation</a></td><td> </td></tr>
<tr><td> 13 </td><td> 09-Oct-2024 </td><td> <a href="cs8850_13_svm.html">Support Vector Machines</a> </td><td> </td></tr>
<tr><td> 14 </td><td> 14-Oct-2024 </td><td> <a href="cs8850_14_factorization.html">Matrix Factorization</a> </td><td> <em></em> </td></tr>
<tr style='background-color: #E5DDCB;'><td> </td><td> 15-Oct-2023 </td><td> </td><td> <em>midpoint</em> </td></tr>
<tr><td> 15 </td><td> 16-Oct-2024 </td><td> <a href="cs8850_15_SGD.html">Stochastic Gradient Descent</a> </td><td> </td></tr>
<tr><td> 16 </td><td> 21-Oct-2024 </td><td> <a href="cs8850_16_kmeans.html">K-means clustering</a> </td><td></td></tr>
<tr><td> 17 </td><td> 23-Oct-2024 </td><td> <a href="cs8850_17_EM.html">Expectation Maximization</a> </td><td> </td></tr>
</table>
</col50>
<col50>
Expand All @@ -136,13 +136,13 @@ <h2 style="margin-top: -350px;">Advanced Machine Learning</h2>
<th>topic</th>
<th>description</th>
</tr>
<tr><td>18 </td><td> 30-Oct-2023 </td><td> <a href="cs8850_18_AD.html">Automatic Differentiation</a> </td><td> </td></tr>
<tr><td>19 </td><td> 01-Nov-2023 </td><td> <a href="cs8850_19_manifold.html">Nonlinear Embedding Approaches</a> </td><td> </td></tr>
<tr><td> 20 </td><td> 06-Nov-2023 </td><td> <a href="cs8850_20_model_comparison_1.html">Model Comparison I</a> </td><td> </td></tr>
<tr><td> 21 </td><td> 08-Nov-2023 </td><td> <a href="cs8850_21_model_comparison_2.html">Model Comparison II</a> </td><td> </td></tr>
<tr><td> 22 </td><td> 13-Nov-2023 </td><td> <a href="cs8850_22_calibration.html">Model Calibrarion</a> </td><td> </td></tr>
<tr><td> 23 </td><td> 15-Nov-2023 </td><td> <a href="cs8850_23_CNN.html">Convolutional Neural Networks</a> </td><td></td></tr>
<tr><td> 24 </td><td> 20-Nov-2023 </td><td> <a href="cs8850_24_embedding.html">Word Embedding</a> </td><td> </td></tr>
<tr><td>18 </td><td> 28-Oct-2024 </td><td> <a href="cs8850_18_AD.html">Automatic Differentiation</a> </td><td> </td></tr>
<tr><td>19 </td><td> 30-Oct-2024 </td><td> <a href="cs8850_19_manifold.html">Nonlinear Embedding Approaches</a> </td><td> </td></tr>
<tr><td> 20 </td><td> 04-Nov-2024 </td><td> <a href="cs8850_20_model_comparison_1.html">Model Comparison I</a> </td><td> </td></tr>
<tr><td> 21 </td><td> 06-Nov-2024 </td><td> <a href="cs8850_21_model_comparison_2.html">Model Comparison II</a> </td><td> </td></tr>
<tr><td> 22 </td><td> 11-Nov-2024 </td><td> <a href="cs8850_22_calibration.html">Model Calibrarion</a> </td><td> </td></tr>
<tr><td> 23 </td><td> 13-Nov-2024 </td><td> <a href="cs8850_23_CNN.html">Convolutional Neural Networks</a> </td><td></td></tr>
<tr><td> 24 </td><td> 18-Nov-2024 </td><td> <a href="cs8850_24_embedding.html">Word Embedding</a> </td><td> </td></tr>
</table>
</col50>
</row>
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