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<h1>Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)</h1>
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<b><a href="http://mhjgit.github.io/info/doc/web/" target="_self">Morten Hjorth-Jensen</a></b> [1, 2]
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[1] <b>Department of Physics and Astronomy and Facility for Rare ion Beams and National Superconducting Cyclotron Laboratory, Michigan State University, USA</b>
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[2] <b>Department of Physics and Center for Computing in Science Education (office F&#216;470), University of Oslo, Norway</b>
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<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.</p>
<h2 id="week-34-august-21-25-basic-introduction-to-the-course-with-schedule-etc-and-start-linear-regression">Week 34 August 21-25: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="week-35-august-28-september-1-linear-regression-from-ordinary-least-squares-to-ridge-and-lasso-regression-elements-of-statistics">Week 35 August 28- September 1: Linear regression, from ordinary Least Squares to Ridge and Lasso Regression, Elements of Statistics </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="week-36-september-4-8-statistical-analysis-and-discussion-of-ridge-and-lasso-regression">Week 36 September 4-8: Statistical analysis and discussion of Ridge and Lasso 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="week-37-september-11-15-resampling-techniques-cross-validation-and-the-bootstrap">Week 37 September 11-15: Resampling techniques, Cross-validation and the Bootstrap </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="week-38-september-18-22-summary-of-linear-regression-methods-and-start-logistic-regression">Week 38 September 18-22: 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="week-39-september-25-29-logistic-regression-and-gradient-methods">Week 39 September 25-29: Logistic Regression and Gradient methods </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="week-40-october-2-6-stochastic-gradient-descent">Week 40 October 2-6: Stochastic Gradient Descent </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="week-41-october-9-13-neural-networks-starting-to-build-a-multi-layer-perceptron-model-the-back-propagation-algoritm">Week 41 October 9-13: Neural Networks, starting to build a multi-layer Perceptron model, the Back Propagation algoritm </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="week-42-october-16-20-building-a-multi-layer-perceptron-code-and-introduction-to-tensorflow">Week 42 October 16-20: Building a multi-layer perceptron code and introduction to Tensorflow </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="week-43-october-23-27-deep-learning-solving-differential-equations-with-nns-and-convolutional-neural-networks">Week 43 October 23-27: Deep learning, Solving Differential Equations with NNs and Convolutional Neural Networks) </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="week-44-october-30-november-3-decision-trees-and-ensemble-models">Week 44 October 30- November 3: Decision Trees and Ensemble models </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="week-45-november-6-10-decision-trees-random-forests-and-gradient-boosting">Week 45 November 6-10: Decision Trees, 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="week-46-november-13-17-support-vector-machines">Week 46 November 13-17: 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="week-47-november-20-24-support-vector-machines-and-unsupervised-learning-and-summary-of-course-with-future-perspectives">Week 47 November 20-24: Support Vector Machines and unsupervised learning and Summary of Course with Future Perspectives </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>
<!-- !split -->
<h2 id="textbook">Textbook </h2>
<ul>
<li> As a jupyter book:</li>
<ul>
<li> <a href="https://compphysics.github.io/MachineLearning/doc/LectureNotes/_build/html/intro.html" target="_self">ipynb file</a></li>
</ul>
</ul>
<!-- !split -->
<h2 id="projects-fall-2023-dates-are-tentative">Projects Fall 2023 (dates are tentative) </h2>
<h3 id="project-1-deadline-october-15-available-september-3">Project 1, Deadline October 15 (available September 3) </h3>
<ul>
<li> LaTeX and PDF:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project1/pdf/Project1.tex" target="_self">LaTex file</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2023/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/2023/Project1/html/Project1.html" target="_self">Plain html</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2023/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/2023/Project1/ipynb/Project1.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h3 id="project-2-deadline-november-13-available-october-8">Project 2, Deadline November 13 (available October 8) </h3>
<ul>
<li> LaTeX and PDF:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project2/pdf/Project2.tex" target="_self">Latex file</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2023/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/2023/Project2/html/Project2.html" target="_self">Plain html</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2023/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/2023/Project2/ipynb/Project2.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
<h3 id="project-3-deadline-december-11-available-november-12">Project 3, Deadline December 11 (available November 12) </h3>
<ul>
<li> LaTeX and PDF:</li>
<ul>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2023/Project3/pdf/Project3.tex" target="_self">LaTex file</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2023/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/2023/Project3/html/Project3.html" target="_self">Plain html</a></li>
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2023/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/2023/Project3/ipynb/Project3.ipynb" target="_self">ipynb file</a></li>
</ul>
</ul>
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