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mhjensen
2020-09-18 06:24:31 +02:00
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doc/pub/week38/html/._week38-bs001.html
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<h2 id="___sec0" class="anchor">Plans for week 38 </h2>
<ul>
<li> Thursday: Summary of regression methods and discussion of project 1. We revisit also cross-validation and bootstrap as resampling techniques with examples</li>
<li> Friday: Logistic Regression</li>
<li> Thursday: Summary of regression methods and discussion of project 1. We revisit also cross-validation and bootstrap as resampling techniques with examples. Recommended reading: <a href="https://www.springer.com/gp/book/9780387848570" target="_self">Hastie et al</a> chapters 3 and 7.1-7.6 and 7.10-7.12.</li>
<li> Friday: Logistic Regression. Recommended reading: <a href="https://www.springer.com/gp/book/9780387848570" target="_self">Hastie et al</a> chapters 4.1-4.4 and <a href="https://mitpress.mit.edu/books/machine-learning-1" target="_self">Murphy</a> chapter 8.1-8.2</li>
</ul>
<p>
doc/pub/week38/html/week38-reveal.html
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<h2 id="___sec0">Plans for week 38 </h2>
<ul>
<p><li> Thursday: Summary of regression methods and discussion of project 1. We revisit also cross-validation and bootstrap as resampling techniques with examples</li>
<p><li> Friday: Logistic Regression</li>
<p><li> Thursday: Summary of regression methods and discussion of project 1. We revisit also cross-validation and bootstrap as resampling techniques with examples. Recommended reading: <a href="https://www.springer.com/gp/book/9780387848570" target="_blank">Hastie et al</a> chapters 3 and 7.1-7.6 and 7.10-7.12.</li>
<p><li> Friday: Logistic Regression. Recommended reading: <a href="https://www.springer.com/gp/book/9780387848570" target="_blank">Hastie et al</a> chapters 4.1-4.4 and <a href="https://mitpress.mit.edu/books/machine-learning-1" target="_blank">Murphy</a> chapter 8.1-8.2</li>
</ul>
</section>
doc/pub/week38/html/week38-solarized.html
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<h2 id="___sec0">Plans for week 38 </h2>
<ul>
<li> Thursday: Summary of regression methods and discussion of project 1. We revisit also cross-validation and bootstrap as resampling techniques with examples</li>
<li> Friday: Logistic Regression</li>
<li> Thursday: Summary of regression methods and discussion of project 1. We revisit also cross-validation and bootstrap as resampling techniques with examples. Recommended reading: <a href="https://www.springer.com/gp/book/9780387848570" target="_blank">Hastie et al</a> chapters 3 and 7.1-7.6 and 7.10-7.12.</li>
<li> Friday: Logistic Regression. Recommended reading: <a href="https://www.springer.com/gp/book/9780387848570" target="_blank">Hastie et al</a> chapters 4.1-4.4 and <a href="https://mitpress.mit.edu/books/machine-learning-1" target="_blank">Murphy</a> chapter 8.1-8.2</li>
</ul>
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doc/pub/week38/html/week38.html
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<h2 id="___sec0">Plans for week 38 </h2>
<ul>
<li> Thursday: Summary of regression methods and discussion of project 1. We revisit also cross-validation and bootstrap as resampling techniques with examples</li>
<li> Friday: Logistic Regression</li>
<li> Thursday: Summary of regression methods and discussion of project 1. We revisit also cross-validation and bootstrap as resampling techniques with examples. Recommended reading: <a href="https://www.springer.com/gp/book/9780387848570" target="_blank">Hastie et al</a> chapters 3 and 7.1-7.6 and 7.10-7.12.</li>
<li> Friday: Logistic Regression. Recommended reading: <a href="https://www.springer.com/gp/book/9780387848570" target="_blank">Hastie et al</a> chapters 4.1-4.4 and <a href="https://mitpress.mit.edu/books/machine-learning-1" target="_blank">Murphy</a> chapter 8.1-8.2</li>
</ul>
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doc/pub/week38/ipynb/ipynb-week38-src.tar.gz
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doc/pub/week38/ipynb/week38.ipynb
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"\n",
"## Plans for week 38\n",
"\n",
"* Thursday: Summary of regression methods and discussion of project 1. We revisit also cross-validation and bootstrap as resampling techniques with examples\n",
"* Thursday: Summary of regression methods and discussion of project 1. We revisit also cross-validation and bootstrap as resampling techniques with examples. Recommended reading: [Hastie et al](https://www.springer.com/gp/book/9780387848570) chapters 3 and 7.1-7.6 and 7.10-7.12.\n",
"\n",
"* Friday: Logistic Regression\n",
"* Friday: Logistic Regression. Recommended reading: [Hastie et al](https://www.springer.com/gp/book/9780387848570) chapters 4.1-4.4 and [Murphy](https://mitpress.mit.edu/books/machine-learning-1) chapter 8.1-8.2\n",
"\n",
"## Thursday September 17\n",
"\n",