Morten Hjorth-Jensen
403 lines
16 KiB
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403 lines
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<h1 class="site-logo" id="site-title">Applied Data Analysis and Machine Learning</h1>
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Applied Data Analysis and Machine Learning, FYS-STK3155/4155 at the University of Oslo, Norway
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About the course
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Teaching schedule with links to material
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Teachers and Grading
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Textbooks
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Review of Statistics with Resampling Techniques and Linear Algebra
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1. Elements of Probability Theory and Statistical Data Analysis
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2. Linear Algebra, Handling of Arrays and more Python Features
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From Regression to Support Vector Machines
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3. Linear Regression, basic Elements
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4. Resampling Methods
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5. Ridge and Lasso Regression
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6. Logistic Regression
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7. Support Vector Machines, overarching aims
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Decision Trees, Ensemble Methods and Boosting
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8. Decision trees, overarching aims
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9. Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods
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Dimensionality Reduction
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10. Basic ideas of the Principal Component Analysis (PCA)
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11. Clustering Analysis
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Deep Learning Methods
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12. Neural networks
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13. Building a Feed Forward Neural Network
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Instructor information
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Teaching Assistants Fall semester 2021
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<a class="reference internal nav-link" href="#grading">
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Grading
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<h1>Teachers and Grading<a class="headerlink" href="#teachers-and-grading" title="Permalink to this headline">¶</a></h1>
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<div class="section" id="instructor-information">
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<h2>Instructor information<a class="headerlink" href="#instructor-information" title="Permalink to this headline">¶</a></h2>
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<ul class="simple">
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<li><p><em>Name</em>: Morten Hjorth-Jensen</p></li>
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<li><p><em>Email</em>: <a class="reference external" href="mailto:morten.hjorth-jensen%40fys.uio.no">morten<span>.</span>hjorth-jensen<span>@</span>fys<span>.</span>uio<span>.</span>no</a></p></li>
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<li><p><em>Phone</em>: +47-48257387</p></li>
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<li><p><em>Office</em>: Department of Physics, University of Oslo, Eastern wing, room FØ470</p></li>
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<li><p><em>Office hours</em>: <em>Anytime</em>! Feel free to send an email for planning. Both in person meetings or digital meetings are possible.</p></li>
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</ul>
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</div>
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<div class="section" id="teaching-assistants-fall-semester-2021">
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<h2>Teaching Assistants Fall semester 2021<a class="headerlink" href="#teaching-assistants-fall-semester-2021" title="Permalink to this headline">¶</a></h2>
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<ul class="simple">
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<li><p>Øyvind Sigmundson Schøyen, <a class="reference external" href="mailto:oyvinssc%40student.matnat.uio.no">oyvinssc<span>@</span>student<span>.</span>matnat<span>.</span>uio<span>.</span>no</a></p></li>
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<li><p>Stian Bilek, <a class="reference external" href="mailto:stian.bilek%40fys.uio.no">stian<span>.</span>bilek<span>@</span>fys<span>.</span>uio<span>.</span>no</a></p></li>
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<li><p>Linus Ekstrøm, <a class="reference external" href="mailto:linueks%40gmail.com">linueks<span>@</span>gmail<span>.</span>com</a>, <a class="reference external" href="mailto:linus.ekstrom%40fys.uio.no">linus<span>.</span>ekstrom<span>@</span>fys<span>.</span>uio<span>.</span>no</a></p></li>
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<li><p>Nicholas Karlsen, <a class="reference external" href="mailto:nicholaskarlsen1102%40gmail.com">nicholaskarlsen1102<span>@</span>gmail<span>.</span>com</a>, <a class="reference external" href="mailto:nicholas.karlsen%40fys.uio.no">nicholas<span>.</span>karlsen<span>@</span>fys<span>.</span>uio<span>.</span>no</a></p></li>
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<li><p>Bendik Steinsvåg Dalen, <a class="reference external" href="mailto:b.s.dalen%40fys.uio.no">b<span>.</span>s<span>.</span>dalen<span>@</span>fys<span>.</span>uio<span>.</span>no</a></p></li>
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<li><p>Philip Karim Sørli Niane, <a class="reference external" href="mailto:p.k.s.niane%40fys.uio.no">p<span>.</span>k<span>.</span>s<span>.</span>niane<span>@</span>fys<span>.</span>uio<span>.</span>no</a></p></li>
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</div>
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<div class="section" id="grading">
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<h2>Grading<a class="headerlink" href="#grading" title="Permalink to this headline">¶</a></h2>
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<p>Grading scale: Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. There are three projects which are graded and each project counts 1/3 of the final grade. The total score is thus the average from all three projects.</p>
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<p>The final number of points is based on the average of all projects (including eventual additional points) and the grade follows the following table:</p>
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<ul class="simple">
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<li><p>92-100 points: A</p></li>
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<li><p>77-91 points: B</p></li>
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<li><p>58-76 points: C</p></li>
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<li><p>46-57 points: D</p></li>
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<li><p>40-45 points: E</p></li>
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<li><p>0-39 points: F-failed</p></li>
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</ul>
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By Morten Hjorth-Jensen<br/>
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