Morten Hjorth-Jensen
555 lines
24 KiB
HTML
555 lines
24 KiB
HTML
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<meta name="description" content="Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)">
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<title>Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)</title>
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<!-- tocinfo
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{'highest level': 2,
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'sections': [('Week 34 August 23-27:Basic introduction to the course with '
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'schedule etc and start Linear Regression',
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2,
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None,
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'week-34-august-23-27-basic-introduction-to-the-course-with-schedule-etc-and-start-linear-regression'),
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('Week 35 August 30- September 3: Linear regression, from '
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'ordinary Least Squares to Ridge and Lasso Regression',
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2,
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None,
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'week-35-august-30-september-3-linear-regression-from-ordinary-least-squares-to-ridge-and-lasso-regression'),
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('Week 36 September 6-10: Statistical analysis and discussion of '
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'Ridge and Lasso regression',
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2,
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None,
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'week-36-september-6-10-statistical-analysis-and-discussion-of-ridge-and-lasso-regression'),
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('Week 37 September 13-17: Resampling techniques, '
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'Cross-validation and the Bootstrap',
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2,
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None,
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'week-37-september-13-17-resampling-techniques-cross-validation-and-the-bootstrap'),
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('Week 38 September 20-24: Summary of linear regression methods '
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'and start Logistic Regression',
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2,
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None,
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'week-38-september-20-24-summary-of-linear-regression-methods-and-start-logistic-regression'),
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('Week 39 September 27- October 1: Logistic Regression and '
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'Gradient methods',
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2,
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None,
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'week-39-september-27-october-1-logistic-regression-and-gradient-methods'),
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('Week 40 October 4-8: Stochastic Gradient Descent and Neural '
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'Networks, starting to build a multi-layer Perceptron model',
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2,
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None,
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'week-40-october-4-8-stochastic-gradient-descent-and-neural-networks-starting-to-build-a-multi-layer-perceptron-model'),
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('Week 41 October 11-15: Building a multi-layer perceptron code '
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'and introduction to Tensorflow',
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2,
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None,
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'week-41-october-11-15-building-a-multi-layer-perceptron-code-and-introduction-to-tensorflow'),
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('Week 42 October 18-22: Deep learning (Convolutional Neural '
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'Networks and Recurrent Neural Networks',
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2,
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None,
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'week-42-october-18-22-deep-learning-convolutional-neural-networks-and-recurrent-neural-networks'),
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('Week 43 October 25-29: Dimesionality Reduction, Principal '
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'Component analysis',
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2,
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None,
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'week-43-october-25-29-dimesionality-reduction-principal-component-analysis'),
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('Week 44 November 1-5: Decision Trees and Bagging',
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2,
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None,
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'week-44-november-1-5-decision-trees-and-bagging'),
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('Week 45 November 8-12: Random Forests and Gradient Boosting',
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2,
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None,
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'week-45-november-8-12-random-forests-and-gradient-boosting'),
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('Week 46 November 15-19: Gradient boosting and Support Vector '
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'Machines',
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2,
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None,
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'week-46-november-15-19-gradient-boosting-and-support-vector-machines'),
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2,
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None,
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'week-47-november-22-26-support-vector-machines-and-workshop-on-project-3'),
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('Week 48 November 29- December 3: Support Vector Machines and '
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('Project 1, Deadline October 4 (available September 10)',
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('Project 2, Deadline November 13 (available October 8)',
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'project-2-deadline-november-13-available-october-8'),
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'project-3-deadline-december-13-available-november-12')]}
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end of tocinfo -->
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<body>
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<!-- ------------------- main content ---------------------- -->
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<center><h1>Overview of course material: Data Analysis and Machine Learning (weekly schedule may be revised)</h1></center> <!-- document title -->
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<p>
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<!-- author(s): <a href="http://mhjgit.github.io/info/doc/web/" target="_self">Morten Hjorth-Jensen</a> -->
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<center>
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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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</center>
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<p>
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<!-- institution(s) -->
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<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>
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<center>[2] <b>Department of Physics and Center for Computing in Science Education (office FØ470), University of Oslo, Norway</b></center>
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<br>
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<p>
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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.
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<h2 id="week-34-august-23-27-basic-introduction-to-the-course-with-schedule-etc-and-start-linear-regression">Week 34 August 23-27:Basic introduction to the course with schedule etc and start Linear Regression </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week34/html/week34-reveal.html" target="_self">reveal.js beige slide style</a></li>
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week34/ipynb/week34.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-35-august-30-september-3-linear-regression-from-ordinary-least-squares-to-ridge-and-lasso-regression">Week 35 August 30- September 3: Linear regression, from ordinary Least Squares to Ridge and Lasso Regression </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week35/html/week35-reveal.html" target="_self">reveal.js beige slide style</a></li>
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week35/ipynb/week35.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-36-september-6-10-statistical-analysis-and-discussion-of-ridge-and-lasso-regression">Week 36 September 6-10: Statistical analysis and discussion of Ridge and Lasso regression </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week36/html/week36-reveal.html" target="_self">reveal.js beige slide style</a></li>
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week36/ipynb/week36.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-37-september-13-17-resampling-techniques-cross-validation-and-the-bootstrap">Week 37 September 13-17: Resampling techniques, Cross-validation and the Bootstrap </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week37/html/week37-reveal.html" target="_self">reveal.js beige slide style</a></li>
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week37/ipynb/week37.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-38-september-20-24-summary-of-linear-regression-methods-and-start-logistic-regression">Week 38 September 20-24: Summary of linear regression methods and start Logistic Regression </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week38/html/week38-reveal.html" target="_self">reveal.js beige slide style</a></li>
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week38/ipynb/week38.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-39-september-27-october-1-logistic-regression-and-gradient-methods">Week 39 September 27- October 1: Logistic Regression and Gradient methods </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/html/week39-reveal.html" target="_self">reveal.js beige slide style</a></li>
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week39/ipynb/week39.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-40-october-4-8-stochastic-gradient-descent-and-neural-networks-starting-to-build-a-multi-layer-perceptron-model">Week 40 October 4-8: Stochastic Gradient Descent and Neural Networks, starting to build a multi-layer Perceptron model </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/html/week40-reveal.html" target="_self">reveal.js beige slide style</a></li>
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week40/ipynb/week40.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-41-october-11-15-building-a-multi-layer-perceptron-code-and-introduction-to-tensorflow">Week 41 October 11-15: Building a multi-layer perceptron code and introduction to Tensorflow </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week41/html/week41-reveal.html" target="_self">reveal.js beige slide style</a></li>
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week41/ipynb/week41.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-42-october-18-22-deep-learning-convolutional-neural-networks-and-recurrent-neural-networks">Week 42 October 18-22: Deep learning (Convolutional Neural Networks and Recurrent Neural Networks </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week42/html/week42-reveal.html" target="_self">reveal.js beige slide style</a></li>
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week42/ipynb/week42.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-43-october-25-29-dimesionality-reduction-principal-component-analysis">Week 43 October 25-29: Dimesionality Reduction, Principal Component analysis </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week43/html/week43-reveal.html" target="_self">reveal.js beige slide style</a></li>
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week43/ipynb/week43.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-44-november-1-5-decision-trees-and-bagging">Week 44 November 1-5: Decision Trees and Bagging </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week44/html/week44-reveal.html" target="_self">reveal.js beige slide style</a></li>
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week44/ipynb/week44.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-45-november-8-12-random-forests-and-gradient-boosting">Week 45 November 8-12: Random Forests and Gradient Boosting </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week45/html/week45-reveal.html" target="_self">reveal.js beige slide style</a></li>
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week45/ipynb/week45.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-46-november-15-19-gradient-boosting-and-support-vector-machines">Week 46 November 15-19: Gradient boosting and Support Vector Machines </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week46/html/week46-reveal.html" target="_self">reveal.js beige slide style</a></li>
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week46/ipynb/week46.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-47-november-22-26-support-vector-machines-and-workshop-on-project-3">Week 47 November 22-26: Support Vector Machines and Workshop on Project 3 </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47.html" target="_self">Plain html</a></li>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week47/html/week47-reveal.html" target="_self">reveal.js beige slide style</a></li>
|
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<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>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
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<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week47/ipynb/week47.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<h2 id="week-48-november-29-december-3-support-vector-machines-and-summary-of-course-with-future-perspectives">Week 48 November 29- December 3: Support Vector Machines and Summary of Course with Future Perspectives </h2>
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<ul>
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<li> HTML:</li>
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<ul>
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<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>
|
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</ul>
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<li> Jupyter notebook:</li>
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|
|
|
<ul>
|
|
<li> <a href="https://compphysics.github.io/MachineLearning/doc/pub/week48/ipynb/week48.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<!-- !split -->
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<h2 id="textbook">Textbook </h2>
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<ul>
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<li> PDF-file:</li>
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<ul>
|
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<li> <a href="http://compphysics.github.io/MachineLearning/doc/LectureNotes/pdf/book.pdf" target="_self">PDF file</a></li>
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</ul>
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<li> Jupyter notebook:</li>
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<ul>
|
|
<li> <a href="http://compphysics.github.io/MachineLearning/doc/LectureNotes/ipynb/book.ipynb" target="_self">ipynb file</a></li>
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</ul>
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</ul>
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<!-- !split -->
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<h2 id="projects-fall-2021-dates-are-tentative">Projects Fall 2021 (dates are tentative) </h2>
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<h3 id="project-1-deadline-october-4-available-september-10">Project 1, Deadline October 4 (available September 10) </h3>
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<ul>
|
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<li> LaTeX and PDF:</li>
|
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|
|
<ul>
|
|
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/pdf/Project1.tex" target="_self">LaTex file</a></li>
|
|
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/pdf/Project1.pdf" target="_self">PDF file</a></li>
|
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</ul>
|
|
|
|
<li> HTML:</li>
|
|
|
|
<ul>
|
|
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project1/html/Project1.html" target="_self">Plain html</a></li>
|
|
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/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/2021/Project1/ipynb/Project1.ipynb" target="_self">ipynb file</a></li>
|
|
</ul>
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</ul>
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<h3 id="project-2-deadline-november-13-available-october-8">Project 2, Deadline November 13 (available October 8) </h3>
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<ul>
|
|
<li> LaTeX and PDF:</li>
|
|
|
|
<ul>
|
|
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project2/pdf/Project2.tex" target="_self">Latex file</a></li>
|
|
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/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/2021/Project2/html/Project2.html" target="_self">Plain html</a></li>
|
|
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/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/2021/Project2/ipynb/Project2.ipynb" target="_self">ipynb file</a></li>
|
|
</ul>
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</ul>
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|
<h3 id="project-3-deadline-december-13-available-november-12">Project 3, Deadline December 13 (available November 12) </h3>
|
|
|
|
<ul>
|
|
<li> LaTeX and PDF:</li>
|
|
|
|
<ul>
|
|
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/Project3/pdf/Project3.tex" target="_self">LaTex file</a></li>
|
|
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/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/2021/Project3/html/Project3.html" target="_self">Plain html</a></li>
|
|
<li> <a href="http://compphysics.github.io/MachineLearning/doc/Projects/2021/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/2021/Project3/ipynb/Project3.ipynb" target="_self">ipynb file</a></li>
|
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</ul>
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</ul>
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