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<meta name="description" content="Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)">
<title>Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)</title>
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<body>
<!-- ------------------- main content ---------------------- -->
<center><h1>Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)</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 running codes (jupyter notebooks) and on-screen reading. Below you will also find a link to the lecture notes as a textbook in PDF format and as a jupyter notebook as well. Projects and exercise sets are also included.
<h2 id="___sec0">Week 34 August 17-21:Basic introduction to the course with schedule etc and start Linear Regression </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34-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/week34/ipynb/week34.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec1">Week 35 August 24-28: Linear regression and review of statistics and probability theory </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35-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/week35/ipynb/week35.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec2">Week 36 August 31- September 4: Resampling techniques, Cross-validation and Bootstrap and start discussion of Ridge regression </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36-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/week36/ipynb/week36.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec3">Week 37 September 7-11: Ridge and Lasso Regression </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37-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/week37/ipynb/week37.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec4">Week 38 September 14-18: Summary of linear regression methods and start Logistic Regression </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38-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/week38/ipynb/week38.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec5">Week 39 September 21-25: Logistic Regression and Gradient methods. Start Neural Networks </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39-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/week39/ipynb/week39.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec6">Week 40 September 28 - October 2: Neural Networks, building a multi-layer Perceptron model </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40-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/week40/ipynb/week40.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec7">Week 41 October 5-9: Introduction to Tensorflow and deep learning (Convolutional Neural Networks and Recurrent Neural Networks) </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41-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/week41/ipynb/week41.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec8">Week 42 October 12-16: Deep learning (Convolutional Neural Networks and Recurrent Neural Networks </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42-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/week42/ipynb/week42.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec9">Week 43 October 19-23: Dimesionality Reduction, Principal Component analysis </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43-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/week43/ipynb/week43.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec10">Week 44 October 26-30: Decision Trees and Bagging </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44-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/week44/ipynb/week44.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec11">Week 45 November 2-6: Random Forests and Gradient Boosting </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45-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/week45/ipynb/week45.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec12">Week 46 November 9-13: Support Vector Machines </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46-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/week46/ipynb/week46.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec13">Week 47 November 16-20: Support Vector Machines </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47-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/week47/ipynb/week47.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h2 id="___sec14">Week 48 November 23-27: Unsupervised learning, clustering and summary of course </h2>
<ul>
<li> HTML:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week48/html/week48.html" target="_self">Plain html</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week48/html/week48-reveal.html" target="_self">reveal.js beige slide style</a></li>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week48/html/week48-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/week48/ipynb/week48.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<!-- !split -->
<h2 id="___sec15">Projects and Exercises Fall 2020 </h2>
<h3 id="___sec16">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="___sec17">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="___sec18">Textbook </h3>
<ul>
<li> PDF-file:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/LectureNotes/pdf/book.pdf" target="_self">PDF file</a></li>
</ul>
<li> Jupyter notebook:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/LectureNotes/ipynb/book.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h3 id="___sec19">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="___sec20">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="___sec21">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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</body>
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