Morten Hjorth-Jensen
812 lines
32 KiB
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812 lines
32 KiB
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Applied Data Analysis and Machine Learning
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<p aria-level="2" class="caption" role="heading">
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About the course
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Teachers and Grading
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<p aria-level="2" class="caption" role="heading">
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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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</a>
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<li class="toctree-l1">
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<a class="reference internal" href="linalg.html">
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2. Linear Algebra, Handling of Arrays and more Python Features
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</a>
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</li>
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</ul>
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<p aria-level="2" class="caption" role="heading">
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From Regression to Support Vector Machines
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</span>
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3. Linear Regression
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</a>
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</li>
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<li class="toctree-l1">
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<a class="reference internal" href="chapter2.html">
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4. Ridge and Lasso Regression
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</a>
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</li>
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<li class="toctree-l1">
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<a class="reference internal" href="chapter3.html">
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5. Resampling Methods
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</a>
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<li class="toctree-l1">
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<a class="reference internal" href="chapter4.html">
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6. Logistic Regression
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</a>
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</li>
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<li class="toctree-l1">
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<a class="reference internal" href="chapteroptimization.html">
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7. Optimization, the central part of any Machine Learning algortithm
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</a>
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<li class="toctree-l1">
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<a class="reference internal" href="chapter5.html">
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8. Support Vector Machines, overarching aims
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</a>
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</li>
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</ul>
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<p aria-level="2" class="caption" role="heading">
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<span class="caption-text">
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Decision Trees, Ensemble Methods and Boosting
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</span>
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</p>
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9. Decision trees, overarching aims
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</a>
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<a class="reference internal" href="chapter7.html">
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10. Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods
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</a>
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</li>
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</ul>
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<p aria-level="2" class="caption" role="heading">
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<span class="caption-text">
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Dimensionality Reduction
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11. Basic ideas of the Principal Component Analysis (PCA)
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</a>
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12. Clustering and Unsupervised Learning
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<p aria-level="2" class="caption" role="heading">
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Deep Learning Methods
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13. Neural networks
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14. Building a Feed Forward Neural Network
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15. Solving Differential Equations with Deep Learning
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16. Convolutional Neural Networks
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17. Recurrent neural networks: Overarching view
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<p aria-level="2" class="caption" role="heading">
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Weekly material, notes and exercises
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Exercises week 34
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Week 34: Introduction to the course, Logistics and Practicalities
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Exercises week 35
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Week 35: From Ordinary Linear Regression to Ridge and Lasso Regression
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Exercises week 36
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Week 36: Statistical interpretation of Linear Regression and Resampling techniques
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Exercises week 37
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Week 37: Statistical interpretations and Resampling Methods
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Exercises week 38
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Week 38: Logistic Regression and Optimization
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Exercises week 39
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Week 39: Optimization and Gradient Methods
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Week 40: Gradient descent methods (continued) and start Neural networks
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Exercises week 41
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Week 41 Neural networks and constructing a neural network code
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Exercises week 42
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Week 42 Constructing a Neural Network code with introduction to Tensor flow
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Exercises weeks 43 and 44
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Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations
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Week 44, Convolutional Neural Networks (CNN)
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Week 45, Recurrent Neural Networks
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Week 46: Decision Trees, Ensemble methods and Random Forests
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Week 47: From Decision Trees to Ensemble Methods, Random Forests and Boosting Methods and Summary of Course
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Exercise week 47
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Projects
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Project 1 on Machine Learning, deadline October 9 (midnight), 2023
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Project 2 on Machine Learning, deadline November 17 (Midnight)
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Exercise week 47
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<a class="reference internal nav-link" href="#why-did-you-choose-this-course">
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Why did you choose this course?
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What was your programming knowledge before you started?
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Project based teaching and active learning
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<a class="reference internal nav-link" href="#usefulness-of-the-weekly-exercises">
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Usefulness of the weekly exercises
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Active learning/lab sessions and lectures
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<a class="reference internal nav-link" href="#which-resources-and-tools-did-you-use-jupyter-notebooks-github-the-various-textbooks-we-have-recommended-etc-etc">
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Which resources and tools did you use? Jupyter-notebooks, GitHub, the various textbooks we have recommended, etc etc
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<h1>Exercise week 47</h1>
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Exercise week 47
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<a class="reference internal nav-link" href="#overarching-aims-of-the-exercises-this-week">
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Overarching aims of the exercises this week
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<li class="toc-h2 nav-item toc-entry">
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<a class="reference internal nav-link" href="#why-did-you-choose-this-course">
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Why did you choose this course?
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</a>
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</li>
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<li class="toc-h2 nav-item toc-entry">
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<a class="reference internal nav-link" href="#what-was-your-programming-knowledge-before-you-started">
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What was your programming knowledge before you started?
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</a>
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</li>
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<li class="toc-h2 nav-item toc-entry">
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<a class="reference internal nav-link" href="#how-do-you-judge-your-own-level-of-knowledge-on-machine-learning-before-and-after-this-course">
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How do you judge your own level of knowledge on machine learning before and after this course?
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</a>
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</li>
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<li class="toc-h2 nav-item toc-entry">
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<a class="reference internal nav-link" href="#did-the-projects-and-the-teaching-material-allow-you-to-deepen-your-insights-about-machine-learning">
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Did the projects and the teaching material allow you to deepen your insights about Machine Learning?
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</a>
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</li>
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<li class="toc-h2 nav-item toc-entry">
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<a class="reference internal nav-link" href="#project-based-teaching-and-active-learning">
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Project based teaching and active learning
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</a>
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</li>
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<li class="toc-h2 nav-item toc-entry">
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<a class="reference internal nav-link" href="#usefulness-of-the-weekly-exercises">
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Usefulness of the weekly exercises
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</a>
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</li>
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<li class="toc-h2 nav-item toc-entry">
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<a class="reference internal nav-link" href="#active-learning-lab-sessions-and-lectures">
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Active learning/lab sessions and lectures
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</a>
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</li>
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<li class="toc-h2 nav-item toc-entry">
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<a class="reference internal nav-link" href="#how-would-you-improve-this-course">
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How would you improve this course?
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</a>
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</li>
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<li class="toc-h2 nav-item toc-entry">
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<a class="reference internal nav-link" href="#then-some-basic-questions">
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Then some basic questions
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</a>
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<ul class="nav section-nav flex-column">
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<li class="toc-h3 nav-item toc-entry">
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<a class="reference internal nav-link" href="#which-is-your-preferred-information-chanel-canvas-discord-mail-or-other">
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Which is your preferred information chanel, Canvas, Discord, mail or other?
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</a>
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</li>
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<li class="toc-h3 nav-item toc-entry">
|
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<a class="reference internal nav-link" href="#was-the-weekly-update-with-plans-etc-useful">
|
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Was the weekly update with plans etc useful?
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</a>
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</li>
|
|
<li class="toc-h3 nav-item toc-entry">
|
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<a class="reference internal nav-link" href="#was-it-easy-to-access-the-course-material">
|
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Was it easy to access the course material?
|
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</a>
|
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</li>
|
|
<li class="toc-h3 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#which-resources-and-tools-did-you-use-jupyter-notebooks-github-the-various-textbooks-we-have-recommended-etc-etc">
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Which resources and tools did you use? Jupyter-notebooks, GitHub, the various textbooks we have recommended, etc etc
|
|
</a>
|
|
</li>
|
|
<li class="toc-h3 nav-item toc-entry">
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<a class="reference internal nav-link" href="#if-you-did-not-attend-the-lectures-or-the-active-learning-lab-sessions-which-resources-did-you-use">
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If you did not attend the lectures or the active learning/lab sessions, which resources did you use?
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</a>
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</li>
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<li class="toc-h3 nav-item toc-entry">
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<a class="reference internal nav-link" href="#any-other-topics-impressions-ideas-etc-you-would-like-to-share-with-us">
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Any other topics, impressions, ideas etc you would like to share with us?
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</a>
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</li>
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</ul>
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<!-- dom:TITLE: Exercise week 47 --><div class="tex2jax_ignore mathjax_ignore section" id="exercise-week-47">
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<h1>Exercise week 47<a class="headerlink" href="#exercise-week-47" title="Permalink to this headline">¶</a></h1>
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<p><strong>November 20-24, 2023</strong></p>
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<p>Date: <strong>Deadline is Sunday November 26 at midnight</strong></p>
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</div>
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<div class="tex2jax_ignore mathjax_ignore section" id="overarching-aims-of-the-exercises-this-week">
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<h1>Overarching aims of the exercises this week<a class="headerlink" href="#overarching-aims-of-the-exercises-this-week" title="Permalink to this headline">¶</a></h1>
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<p>The exercise this week is a simple course survey and feedback. This
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is important for us in order to improve our teaching material, the
|
|
active learning format and anything else related to a succesful
|
|
mastering of central machine learning methods and their applications.</p>
|
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<div class="section" id="why-did-you-choose-this-course">
|
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<h2>Why did you choose this course?<a class="headerlink" href="#why-did-you-choose-this-course" title="Permalink to this headline">¶</a></h2>
|
|
</div>
|
|
<div class="section" id="what-was-your-programming-knowledge-before-you-started">
|
|
<h2>What was your programming knowledge before you started?<a class="headerlink" href="#what-was-your-programming-knowledge-before-you-started" title="Permalink to this headline">¶</a></h2>
|
|
<p>And do you feel this course added to your programming competences and skills?</p>
|
|
</div>
|
|
<div class="section" id="how-do-you-judge-your-own-level-of-knowledge-on-machine-learning-before-and-after-this-course">
|
|
<h2>How do you judge your own level of knowledge on machine learning before and after this course?<a class="headerlink" href="#how-do-you-judge-your-own-level-of-knowledge-on-machine-learning-before-and-after-this-course" title="Permalink to this headline">¶</a></h2>
|
|
<p>Here you can discuss your level of skill/knowledge at start of course
|
|
and at the end of the course and how these matched the level of
|
|
skill/knowledge needed to complete the projects.</p>
|
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</div>
|
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<div class="section" id="did-the-projects-and-the-teaching-material-allow-you-to-deepen-your-insights-about-machine-learning">
|
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<h2>Did the projects and the teaching material allow you to deepen your insights about Machine Learning?<a class="headerlink" href="#did-the-projects-and-the-teaching-material-allow-you-to-deepen-your-insights-about-machine-learning" title="Permalink to this headline">¶</a></h2>
|
|
<p>Feel free to comment here.</p>
|
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</div>
|
|
<div class="section" id="project-based-teaching-and-active-learning">
|
|
<h2>Project based teaching and active learning<a class="headerlink" href="#project-based-teaching-and-active-learning" title="Permalink to this headline">¶</a></h2>
|
|
<p>This is a project based course and we as teachers would like to keep
|
|
it as it is since we see very clearly that people who attend this
|
|
course have a very good learning outcome. Project based courses are
|
|
however demanding (and expensive seen from the university admin) when
|
|
it comes to proper feedback and evaluations. Feel free to discuss
|
|
whether you found a project-based and active learning approach
|
|
useful. Feel also free to comment upon things we can improve upon or
|
|
alternative ways to assess whether the learning outcomes have been
|
|
achieved. Would you for example a standard 4 hours written exam
|
|
be something you would prefer? Or other alternatives to projects? We
|
|
would very much value your thoughts here since projects are an
|
|
essential part of this course.</p>
|
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</div>
|
|
<div class="section" id="usefulness-of-the-weekly-exercises">
|
|
<h2>Usefulness of the weekly exercises<a class="headerlink" href="#usefulness-of-the-weekly-exercises" title="Permalink to this headline">¶</a></h2>
|
|
<p>Did the weekly exercises help in getting started with the projects?
|
|
How relevant where they for solving the projects? Feel free to
|
|
elaborate</p>
|
|
</div>
|
|
<div class="section" id="active-learning-lab-sessions-and-lectures">
|
|
<h2>Active learning/lab sessions and lectures<a class="headerlink" href="#active-learning-lab-sessions-and-lectures" title="Permalink to this headline">¶</a></h2>
|
|
<p>Was there a good link between lectures and active learning sessions?
|
|
Would you prefer an active learning environment only with no lectures
|
|
or would you prefer a more lecture based format with lab sessions only
|
|
(that is no discussion at the beginning of the lab sessions)? Feel
|
|
free to comment.</p>
|
|
</div>
|
|
<div class="section" id="how-would-you-improve-this-course">
|
|
<h2>How would you improve this course?<a class="headerlink" href="#how-would-you-improve-this-course" title="Permalink to this headline">¶</a></h2>
|
|
<p>Are there topics which are missing, topics which could have been
|
|
omitted and/or discussed in more depth? Feel free to add your comments
|
|
here such as how to improve to teaching material and more.</p>
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</div>
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<div class="section" id="then-some-basic-questions">
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<h2>Then some basic questions<a class="headerlink" href="#then-some-basic-questions" title="Permalink to this headline">¶</a></h2>
|
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<div class="section" id="which-is-your-preferred-information-chanel-canvas-discord-mail-or-other">
|
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<h3>Which is your preferred information chanel, Canvas, Discord, mail or other?<a class="headerlink" href="#which-is-your-preferred-information-chanel-canvas-discord-mail-or-other" title="Permalink to this headline">¶</a></h3>
|
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</div>
|
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<div class="section" id="was-the-weekly-update-with-plans-etc-useful">
|
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<h3>Was the weekly update with plans etc useful?<a class="headerlink" href="#was-the-weekly-update-with-plans-etc-useful" title="Permalink to this headline">¶</a></h3>
|
|
</div>
|
|
<div class="section" id="was-it-easy-to-access-the-course-material">
|
|
<h3>Was it easy to access the course material?<a class="headerlink" href="#was-it-easy-to-access-the-course-material" title="Permalink to this headline">¶</a></h3>
|
|
</div>
|
|
<div class="section" id="which-resources-and-tools-did-you-use-jupyter-notebooks-github-the-various-textbooks-we-have-recommended-etc-etc">
|
|
<h3>Which resources and tools did you use? Jupyter-notebooks, GitHub, the various textbooks we have recommended, etc etc<a class="headerlink" href="#which-resources-and-tools-did-you-use-jupyter-notebooks-github-the-various-textbooks-we-have-recommended-etc-etc" title="Permalink to this headline">¶</a></h3>
|
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</div>
|
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<div class="section" id="if-you-did-not-attend-the-lectures-or-the-active-learning-lab-sessions-which-resources-did-you-use">
|
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<h3>If you did not attend the lectures or the active learning/lab sessions, which resources did you use?<a class="headerlink" href="#if-you-did-not-attend-the-lectures-or-the-active-learning-lab-sessions-which-resources-did-you-use" title="Permalink to this headline">¶</a></h3>
|
|
</div>
|
|
<div class="section" id="any-other-topics-impressions-ideas-etc-you-would-like-to-share-with-us">
|
|
<h3>Any other topics, impressions, ideas etc you would like to share with us?<a class="headerlink" href="#any-other-topics-impressions-ideas-etc-you-would-like-to-share-with-us" title="Permalink to this headline">¶</a></h3>
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