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FYS-STK4155/doc/web/course.html
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<meta name="description" content="Overview of course material: Data Analysis and Machine Learning">
<title>Overview of course material: Data Analysis and Machine Learning</title>
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<body>
<!-- ------------------- main content ---------------------- -->
<center><h1>Overview of course material: Data Analysis and Machine Learning</h1></center> <!-- document title -->
<p>
<!-- author(s): <a href="http://mhjgit.github.io/info/doc/web/" target="_self">Morten Hjorth-Jensen</a> -->
<center>
<b><a href="http://mhjgit.github.io/info/doc/web/" target="_self">Morten Hjorth-Jensen</a></b> [1, 2]
</center>
<p>
<!-- institution(s) -->
<center>[1] <b>Department of Physics and Astronomy and Facility for Rare ion Beams and National Superconducting Cyclotron Laboratory, Michigan State University, USA</b></center>
<center>[2] <b>Department of Physics (office FV308), University of Oslo, Norway</b></center>
<br>
<p>
The teaching material is produced in various formats for printing and on-screen reading.
<p>
<!-- !split -->
<div class="alert alert-block alert-warning alert-text-normal">
<b>Warning.</b>
<p>
The PDF files are based on LaTeX and have seldom technical
failures that cannot be easily corrected.
The HTML-based files, called &quot;HTML&quot; and &quot;ipynb&quot; below, apply MathJax
for rendering LaTeX formulas and sometimes this technology gives rise
to unexpected failures (e.g.,
incorrect rendering in a web page despite correct LaTeX syntax in the
formula). Consult the corresponding PDF
files if you find missing or incorrectly rendered
formulas in HTML or ipython notebook files.
</div>
<h2 id="___sec0">Basic introduction to the course with schedule etc </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Intro2Course/pdf/Intro2Course-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Intro2Course/html/Intro2Course.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Intro2Course/html/Intro2Course-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Intro2Course/html/Intro2Course-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Intro2Course/ipynb/Intro2Course.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec1">Introduction to Data Analysis and Machine Learning </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Introduction/pdf/Introduction-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Introduction/html/Introduction.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Introduction/html/Introduction-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Introduction/html/Introduction-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Introduction/ipynb/Introduction.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec2">Getting started with Machine Learning with simple Examples </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/How2ReadData/pdf/How2ReadData-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/How2ReadData/html/How2ReadData.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/How2ReadData/html/How2ReadData-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/How2ReadData/html/How2ReadData-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/How2ReadData/ipynb/How2ReadData.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec3">Review of central linear algebra elements </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Linalg/pdf/Linalg-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Linalg/html/Linalg.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Linalg/html/Linalg-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Linalg/html/Linalg-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Linalg/ipynb/Linalg.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec4">Monte Carlo methods and elements of probability theory </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Statistics/pdf/Statistics-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Statistics/html/Statistics-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Statistics/ipynb/Statistics.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec5">Regression Methods </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Regression/pdf/Regression-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Regression/html/Regression-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Regression/ipynb/Regression.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec6">Gradient methods and Minimization Algorithms </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Splines/pdf/Splines-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Splines/html/Splines.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Splines/html/Splines-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Splines/html/Splines-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Splines/ipynb/Splines.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec7">Logistic Regression </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/LogReg/pdf/LogReg-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/LogReg/html/LogReg.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/LogReg/html/LogReg-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/LogReg/html/LogReg-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/LogReg/ipynb/LogReg.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec8">Neural Networks </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/pdf/NeuralNet-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/html/NeuralNet-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/NeuralNet/ipynb/NeuralNet.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec9">Convolutional Neural Networks </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/cnn/pdf/cnn-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/cnn/html/cnn.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/cnn/html/cnn-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/cnn/html/cnn-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/cnn/ipynb/cnn.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec10">Reduction of dimensionality </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/DimRed/pdf/DimRed-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/DimRed/html/DimRed.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/DimRed/html/DimRed-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/DimRed/html/DimRed-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/DimRed/ipynb/DimRed.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec11">Decision Trees and Random Forests </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/DecisionTrees/pdf/DecisionTrees-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/DecisionTrees/html/DecisionTrees.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/DecisionTrees/html/DecisionTrees-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/DecisionTrees/ipynb/DecisionTrees.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec12">Support Vector Machines </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/svm/pdf/svm-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/svm/html/svm.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/svm/html/svm-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/svm/html/svm-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/svm/ipynb/svm.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec13">Unsupervised Learning, Boltzmann Machines </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/BM/pdf/BM-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/BM/html/BM.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/BM/html/BM-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/BM/html/BM-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/BM/ipynb/BM.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec14">Recurrent Neural Networks </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Recurrent/pdf/Recurrent-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Recurrent/html/Recurrent.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Recurrent/html/Recurrent-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Recurrent/html/Recurrent-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Recurrent/ipynb/Recurrent.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec15">Autoencoders </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Autoencoders/pdf/Autoencoders-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Autoencoders/html/Autoencoders.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Autoencoders/html/Autoencoders-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Autoencoders/html/Autoencoders-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Autoencoders/ipynb/Autoencoders.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec16">Reinforcement Learning </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Reinforce/pdf/Reinforce-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Reinforce/html/Reinforce.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Reinforce/html/Reinforce-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Reinforce/html/Reinforce-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Reinforce/ipynb/Reinforce.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec17">Solving ordinary and Partial Differential Equations and Eigenvalue Problems with Neural Networks </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/odenn/pdf/odenn-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/odenn/html/odenn.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/odenn/html/odenn-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/odenn/html/odenn-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/odenn/ipynb/odenn.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec18">Elements of Bayesian theory and Bayesian Neural Networks </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Bayesian/pdf/Bayesian-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Bayesian/html/Bayesian.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Bayesian/html/Bayesian-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Bayesian/html/Bayesian-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/Bayesian/ipynb/Bayesian.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec19">Summary </h2>
<ul>
<li> LaTeX PDF:</li>
<ul>
<li> For printing:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/summary/pdf/summary-minted.pdf" target="_self">Standard one-page format</a></li>
</ul>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/summary/html/summary.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/summary/html/summary-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/summary/html/summary-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/summary/ipynb/summary.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<!-- !split -->
<h2 id="___sec20">Projects and Exercises Fall 2020 </h2>
<h3 id="___sec21">First homework set, week 35 </h3>
<ul>
<li> LaTeX and PDF:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw1/pdf/hw1.tex" target="_self">LaTex file</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw1/pdf/hw1.pdf" target="_self">PDF file</a></li>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw1/html/hw1.html" target="_self">Plain html</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw1/html/hw1-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
</ul>
<h3 id="___sec22">Second homework set, week 36 </h3>
<ul>
<li> LaTeX and PDF:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw2/pdf/hw2.tex" target="_self">LaTex file</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw2/pdf/hw2.pdf" target="_self">PDF file</a></li>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw2/html/hw2.html" target="_self">Plain html</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/hw2/html/hw2-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
</ul>
<h3 id="___sec23">Project 1, Deadline October 5 (available September 1) </h3>
<ul>
<li> LaTeX and PDF:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project1/pdf/Project1.tex" target="_self">LaTex file</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project1/pdf/Project1.pdf" target="_self">PDF file</a></li>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project1/html/Project1.html" target="_self">Plain html</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project1/html/Project1-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project1/ipynb/Project1.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h3 id="___sec24">Project 2, Deadline November 2 (available September 28) </h3>
<ul>
<li> LaTeX and PDF:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project2/pdf/Project2.tex" target="_self">Latex file</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project2/pdf/Project2.pdf" target="_self">PDF file</a></li>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project2/html/Project2.html" target="_self">Plain html</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project2/html/Project2-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project2/ipynb/Project2.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h3 id="___sec25">Project 3, Deadline December 7 (available November 2) </h3>
<ul>
<li> LaTeX and PDF:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project3/pdf/Project3.tex" target="_self">LaTex file</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project3/pdf/Project3.pdf" target="_self">PDF file</a></li>
</ul>
<li> HTML:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project3/html/Project3.html" target="_self">Plain html</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project3/html/Project3-bs.html" target="_self">Bootstrap slide style, easy for reading on mobile devices</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2020/Project3/ipynb/Project3.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
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