video thursday 22 sept
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@@ -238,7 +238,7 @@ MathJax.Hub.Config({
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<ul>
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<li> Lab Wednesday and Thursday: work on project 1</li>
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<li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression</li>
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<li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression <a href="https://youtu.be/sdt_BFla8uA" target="_self">Video of lecture</a></li>
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<li> Friday: Classification problems and Logistic Regression, from binary cases to several categories. Start optimization methods</li>
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<li> Reading recommendations:
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<ol type="a"></li>
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@@ -199,7 +199,7 @@ MathJax.Hub.Config({
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<ul>
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<p><li> Lab Wednesday and Thursday: work on project 1</li>
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<p><li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression</li>
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<p><li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression <a href="https://youtu.be/sdt_BFla8uA" target="_blank">Video of lecture</a></li>
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<p><li> Friday: Classification problems and Logistic Regression, from binary cases to several categories. Start optimization methods</li>
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<p><li> Reading recommendations:
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<ol type="a"></li>
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@@ -194,7 +194,7 @@ MathJax.Hub.Config({
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<ul>
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<li> Lab Wednesday and Thursday: work on project 1</li>
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<li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression</li>
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<li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression <a href="https://youtu.be/sdt_BFla8uA" target="_blank">Video of lecture</a></li>
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<li> Friday: Classification problems and Logistic Regression, from binary cases to several categories. Start optimization methods</li>
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<li> Reading recommendations:
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<ol type="a"></li>
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@@ -271,7 +271,7 @@ MathJax.Hub.Config({
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<ul>
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<li> Lab Wednesday and Thursday: work on project 1</li>
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<li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression</li>
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<li> Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression <a href="https://youtu.be/sdt_BFla8uA" target="_blank">Video of lecture</a></li>
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<li> Friday: Classification problems and Logistic Regression, from binary cases to several categories. Start optimization methods</li>
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<li> Reading recommendations:
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<ol type="a"></li>
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@@ -11,6 +11,7 @@ DATE: September 22 and 23
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* Lab Wednesday and Thursday: work on project 1
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* Thursday: Summary of regression methods, cross-validation and discussion of project 1. Start Logistic Regression
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"Video of lecture":"https://youtu.be/sdt_BFla8uA"
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* Friday: Classification problems and Logistic Regression, from binary cases to several categories. Start optimization methods
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* Reading recommendations:
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