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Morten Hjorth-Jensen
2023-08-20 21:36:15 +02:00
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doc/pub/week34/html/._week34-bs003.html
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<li> CMB: Christopher M. Bishop, Pattern Recognition and Machine Learning</li>
<li> HTF: Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning</li>
<li> AG: Aurelien Geron, Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow</li>
<li> KM: <a href="https://probml.github.io/pml-book/book1.html" target="_self">Kevin Murphy, Probabilistic Machine Learning</a></li>
<li> KM: <a href="https://probml.github.io/pml-book/book1.html" target="_self">Kevin Murphy, Probabilistic Machine Learning, an Introduction</a></li>
</ul>
<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_self"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a> (these notes).</p>
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doc/pub/week34/html/week34-reveal.html
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@@ -253,7 +253,7 @@ linear algebra and elements of statistics needed for the course.
<p><li> CMB: Christopher M. Bishop, Pattern Recognition and Machine Learning</li>
<p><li> HTF: Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning</li>
<p><li> AG: Aurelien Geron, Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow</li>
<p><li> KM: <a href="https://probml.github.io/pml-book/book1.html" target="_blank">Kevin Murphy, Probabilistic Machine Learning</a></li>
<p><li> KM: <a href="https://probml.github.io/pml-book/book1.html" target="_blank">Kevin Murphy, Probabilistic Machine Learning, an Introduction</a></li>
</ul>
<p>
<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a> (these notes).</p>
doc/pub/week34/html/week34-solarized.html
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@@ -340,7 +340,7 @@ linear algebra and elements of statistics needed for the course.
<li> CMB: Christopher M. Bishop, Pattern Recognition and Machine Learning</li>
<li> HTF: Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning</li>
<li> AG: Aurelien Geron, Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow</li>
<li> KM: <a href="https://probml.github.io/pml-book/book1.html" target="_blank">Kevin Murphy, Probabilistic Machine Learning</a></li>
<li> KM: <a href="https://probml.github.io/pml-book/book1.html" target="_blank">Kevin Murphy, Probabilistic Machine Learning, an Introduction</a></li>
</ul>
<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a> (these notes).</p>
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doc/pub/week34/html/week34.html
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@@ -417,7 +417,7 @@ linear algebra and elements of statistics needed for the course.
<li> CMB: Christopher M. Bishop, Pattern Recognition and Machine Learning</li>
<li> HTF: Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning</li>
<li> AG: Aurelien Geron, Hands&#8209;On Machine Learning with Scikit&#8209;Learn and TensorFlow</li>
<li> KM: <a href="https://probml.github.io/pml-book/book1.html" target="_blank">Kevin Murphy, Probabilistic Machine Learning</a></li>
<li> KM: <a href="https://probml.github.io/pml-book/book1.html" target="_blank">Kevin Murphy, Probabilistic Machine Learning, an Introduction</a></li>
</ul>
<p>Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at <a href="https://compphysics.github.io/MachineLearning/doc/web/course.html" target="_blank"><tt>https://compphysics.github.io/MachineLearning/doc/web/course.html</tt></a> (these notes).</p>
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doc/pub/week34/ipynb/ipynb-week34-src.tar.gz
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doc/src/week34/week34.do.txt
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@@ -41,7 +41,7 @@ For the reading assignments we use the following abbreviations:
* CMB: Christopher M. Bishop, Pattern Recognition and Machine Learning
* HTF: Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning
* AG: Aurelien Geron, Hands‑On Machine Learning with Scikit‑Learn and TensorFlow
* KM: "Kevin Murphy, Probabilistic Machine Learning":"https://probml.github.io/pml-book/book1.html"
* KM: "Kevin Murphy, Probabilistic Machine Learning, an Introduction":"https://probml.github.io/pml-book/book1.html"
Reading recommendations this week: Refresh linear algebra, GBC chapters 1 and 2. CMB sections 1.1 and 3.1. HTF chapters 2 and 3. Install scikit-learn. See lecture notes for week 34 at https://compphysics.github.io/MachineLearning/doc/web/course.html (these notes).
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