Morten Hjorth-Jensen
817 lines
33 KiB
HTML
817 lines
33 KiB
HTML
|
|
<!DOCTYPE html>
|
|
|
|
<html>
|
|
<head>
|
|
<meta charset="utf-8" />
|
|
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
|
<title>Exercise week 47 — Applied Data Analysis and Machine Learning</title>
|
|
|
|
<link href="_static/css/theme.css" rel="stylesheet">
|
|
<link href="_static/css/index.ff1ffe594081f20da1ef19478df9384b.css" rel="stylesheet">
|
|
|
|
|
|
<link rel="stylesheet"
|
|
href="_static/vendor/fontawesome/5.13.0/css/all.min.css">
|
|
<link rel="preload" as="font" type="font/woff2" crossorigin
|
|
href="_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2">
|
|
<link rel="preload" as="font" type="font/woff2" crossorigin
|
|
href="_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2">
|
|
|
|
|
|
|
|
|
|
|
|
<link rel="stylesheet" type="text/css" href="_static/pygments.css" />
|
|
<link rel="stylesheet" type="text/css" href="_static/sphinx-book-theme.css?digest=c3fdc42140077d1ad13ad2f1588a4309" />
|
|
<link rel="stylesheet" type="text/css" href="_static/togglebutton.css" />
|
|
<link rel="stylesheet" type="text/css" href="_static/copybutton.css" />
|
|
<link rel="stylesheet" type="text/css" href="_static/mystnb.css" />
|
|
<link rel="stylesheet" type="text/css" href="_static/sphinx-thebe.css" />
|
|
<link rel="stylesheet" type="text/css" href="_static/panels-main.c949a650a448cc0ae9fd3441c0e17fb0.css" />
|
|
<link rel="stylesheet" type="text/css" href="_static/panels-variables.06eb56fa6e07937060861dad626602ad.css" />
|
|
|
|
<link rel="preload" as="script" href="_static/js/index.be7d3bbb2ef33a8344ce.js">
|
|
|
|
<script data-url_root="./" id="documentation_options" src="_static/documentation_options.js"></script>
|
|
<script src="_static/jquery.js"></script>
|
|
<script src="_static/underscore.js"></script>
|
|
<script src="_static/doctools.js"></script>
|
|
<script src="_static/clipboard.min.js"></script>
|
|
<script src="_static/copybutton.js"></script>
|
|
<script>let toggleHintShow = 'Click to show';</script>
|
|
<script>let toggleHintHide = 'Click to hide';</script>
|
|
<script>let toggleOpenOnPrint = 'true';</script>
|
|
<script src="_static/togglebutton.js"></script>
|
|
<script>var togglebuttonSelector = '.toggle, .admonition.dropdown, .tag_hide_input div.cell_input, .tag_hide-input div.cell_input, .tag_hide_output div.cell_output, .tag_hide-output div.cell_output, .tag_hide_cell.cell, .tag_hide-cell.cell';</script>
|
|
<script src="_static/sphinx-book-theme.d59cb220de22ca1c485ebbdc042f0030.js"></script>
|
|
<script>const THEBE_JS_URL = "https://unpkg.com/thebe@0.8.2/lib/index.js"
|
|
const thebe_selector = ".thebe,.cell"
|
|
const thebe_selector_input = "pre"
|
|
const thebe_selector_output = ".output, .cell_output"
|
|
</script>
|
|
<script async="async" src="_static/sphinx-thebe.js"></script>
|
|
<link rel="index" title="Index" href="genindex.html" />
|
|
<link rel="search" title="Search" href="search.html" />
|
|
<link rel="next" title="Project 1 on Machine Learning, deadline October 9 (midnight), 2023" href="project1.html" />
|
|
<link rel="prev" title="Week 47: From Decision Trees to Ensemble Methods, Random Forests and Boosting Methods and Summary of Course" href="week47.html" />
|
|
<meta name="viewport" content="width=device-width, initial-scale=1" />
|
|
<meta name="docsearch:language" content="None">
|
|
|
|
|
|
<!-- Google Analytics -->
|
|
|
|
</head>
|
|
<body data-spy="scroll" data-target="#bd-toc-nav" data-offset="80">
|
|
|
|
<div class="container-fluid" id="banner"></div>
|
|
|
|
|
|
|
|
<div class="container-xl">
|
|
<div class="row">
|
|
|
|
<div class="col-12 col-md-3 bd-sidebar site-navigation show" id="site-navigation">
|
|
|
|
<div class="navbar-brand-box">
|
|
<a class="navbar-brand text-wrap" href="index.html">
|
|
|
|
<!-- `logo` is deprecated in Sphinx 4.0, so remove this when we stop supporting 3 -->
|
|
|
|
|
|
|
|
<img src="_static/logo.png" class="logo" alt="logo">
|
|
|
|
|
|
<h1 class="site-logo" id="site-title">Applied Data Analysis and Machine Learning</h1>
|
|
|
|
</a>
|
|
</div><form class="bd-search d-flex align-items-center" action="search.html" method="get">
|
|
<i class="icon fas fa-search"></i>
|
|
<input type="search" class="form-control" name="q" id="search-input" placeholder="Search this book..." aria-label="Search this book..." autocomplete="off" >
|
|
</form><nav class="bd-links" id="bd-docs-nav" aria-label="Main">
|
|
<div class="bd-toc-item active">
|
|
<ul class="nav bd-sidenav">
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="intro.html">
|
|
Applied Data Analysis and Machine Learning
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
<p aria-level="2" class="caption" role="heading">
|
|
<span class="caption-text">
|
|
About the course
|
|
</span>
|
|
</p>
|
|
<ul class="nav bd-sidenav">
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="schedule.html">
|
|
Teaching schedule with links to material
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="teachers.html">
|
|
Teachers and Grading
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="textbooks.html">
|
|
Textbooks
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
<p aria-level="2" class="caption" role="heading">
|
|
<span class="caption-text">
|
|
Review of Statistics with Resampling Techniques and Linear Algebra
|
|
</span>
|
|
</p>
|
|
<ul class="nav bd-sidenav">
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="statistics.html">
|
|
1. Elements of Probability Theory and Statistical Data Analysis
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="linalg.html">
|
|
2. Linear Algebra, Handling of Arrays and more Python Features
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
<p aria-level="2" class="caption" role="heading">
|
|
<span class="caption-text">
|
|
From Regression to Support Vector Machines
|
|
</span>
|
|
</p>
|
|
<ul class="nav bd-sidenav">
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter1.html">
|
|
3. Linear Regression
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter2.html">
|
|
4. Ridge and Lasso Regression
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter3.html">
|
|
5. Resampling Methods
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter4.html">
|
|
6. Logistic Regression
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapteroptimization.html">
|
|
7. Optimization, the central part of any Machine Learning algortithm
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter5.html">
|
|
8. Support Vector Machines, overarching aims
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
<p aria-level="2" class="caption" role="heading">
|
|
<span class="caption-text">
|
|
Decision Trees, Ensemble Methods and Boosting
|
|
</span>
|
|
</p>
|
|
<ul class="nav bd-sidenav">
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter6.html">
|
|
9. Decision trees, overarching aims
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter7.html">
|
|
10. Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
<p aria-level="2" class="caption" role="heading">
|
|
<span class="caption-text">
|
|
Dimensionality Reduction
|
|
</span>
|
|
</p>
|
|
<ul class="nav bd-sidenav">
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter8.html">
|
|
11. Basic ideas of the Principal Component Analysis (PCA)
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="clustering.html">
|
|
12. Clustering and Unsupervised Learning
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
<p aria-level="2" class="caption" role="heading">
|
|
<span class="caption-text">
|
|
Deep Learning Methods
|
|
</span>
|
|
</p>
|
|
<ul class="nav bd-sidenav">
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter9.html">
|
|
13. Neural networks
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter10.html">
|
|
14. Building a Feed Forward Neural Network
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter11.html">
|
|
15. Solving Differential Equations with Deep Learning
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter12.html">
|
|
16. Convolutional Neural Networks
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="chapter13.html">
|
|
17. Recurrent neural networks: Overarching view
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
<p aria-level="2" class="caption" role="heading">
|
|
<span class="caption-text">
|
|
Weekly material, notes and exercises
|
|
</span>
|
|
</p>
|
|
<ul class="current nav bd-sidenav">
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="exercisesweek34.html">
|
|
Exercises week 34
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week34.html">
|
|
Week 34: Introduction to the course, Logistics and Practicalities
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="exercisesweek35.html">
|
|
Exercises week 35
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week35.html">
|
|
Week 35: From Ordinary Linear Regression to Ridge and Lasso Regression
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="exercisesweek36.html">
|
|
Exercises week 36
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week36.html">
|
|
Week 36: Statistical interpretation of Linear Regression and Resampling techniques
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="exercisesweek37.html">
|
|
Exercises week 37
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week37.html">
|
|
Week 37: Statistical interpretations and Resampling Methods
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="exercisesweek38.html">
|
|
Exercises week 38
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week38.html">
|
|
Week 38: Logistic Regression and Optimization
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="exercisesweek39.html">
|
|
Exercises week 39
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week39.html">
|
|
Week 39: Optimization and Gradient Methods
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week40.html">
|
|
Week 40: Gradient descent methods (continued) and start Neural networks
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="exercisesweek41.html">
|
|
Exercises week 41
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week41.html">
|
|
Week 41 Neural networks and constructing a neural network code
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="exercisesweek42.html">
|
|
Exercises week 42
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week42.html">
|
|
Week 42 Constructing a Neural Network code with introduction to Tensor flow
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="exercisesweek43.html">
|
|
Exercises weeks 43 and 44
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week43.html">
|
|
Week 43: Deep Learning: Constructing a Neural Network code and solving differential equations
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week44.html">
|
|
Week 44, Convolutional Neural Networks (CNN)
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week45.html">
|
|
Week 45, Recurrent Neural Networks
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week46.html">
|
|
Week 46: Decision Trees, Ensemble methods and Random Forests
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="week47.html">
|
|
Week 47: From Decision Trees to Ensemble Methods, Random Forests and Boosting Methods and Summary of Course
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1 current active">
|
|
<a class="current reference internal" href="#">
|
|
Exercise week 47
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
<p aria-level="2" class="caption" role="heading">
|
|
<span class="caption-text">
|
|
Projects
|
|
</span>
|
|
</p>
|
|
<ul class="nav bd-sidenav">
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="project1.html">
|
|
Project 1 on Machine Learning, deadline October 9 (midnight), 2023
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="project2.html">
|
|
Project 2 on Machine Learning, deadline November 17 (Midnight)
|
|
</a>
|
|
</li>
|
|
<li class="toctree-l1">
|
|
<a class="reference internal" href="project3.html">
|
|
Project 3 on Machine Learning, deadline December 18 (midnight), 2023
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
|
|
</div>
|
|
</nav> <!-- To handle the deprecated key -->
|
|
|
|
<div class="navbar_extra_footer">
|
|
Powered by <a href="https://jupyterbook.org">Jupyter Book</a>
|
|
</div>
|
|
|
|
</div>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
<main class="col py-md-3 pl-md-4 bd-content overflow-auto" role="main">
|
|
|
|
<div class="topbar container-xl fixed-top">
|
|
<div class="topbar-contents row">
|
|
<div class="col-12 col-md-3 bd-topbar-whitespace site-navigation show"></div>
|
|
<div class="col pl-md-4 topbar-main">
|
|
|
|
<button id="navbar-toggler" class="navbar-toggler ml-0" type="button" data-toggle="collapse"
|
|
data-toggle="tooltip" data-placement="bottom" data-target=".site-navigation" aria-controls="navbar-menu"
|
|
aria-expanded="true" aria-label="Toggle navigation" aria-controls="site-navigation"
|
|
title="Toggle navigation" data-toggle="tooltip" data-placement="left">
|
|
<i class="fas fa-bars"></i>
|
|
<i class="fas fa-arrow-left"></i>
|
|
<i class="fas fa-arrow-up"></i>
|
|
</button>
|
|
|
|
|
|
<div class="dropdown-buttons-trigger">
|
|
<button id="dropdown-buttons-trigger" class="btn btn-secondary topbarbtn" aria-label="Download this page"><i
|
|
class="fas fa-download"></i></button>
|
|
|
|
<div class="dropdown-buttons">
|
|
<!-- ipynb file if we had a myst markdown file -->
|
|
|
|
<!-- Download raw file -->
|
|
<a class="dropdown-buttons" href="_sources/exercisesweek47.ipynb"><button type="button"
|
|
class="btn btn-secondary topbarbtn" title="Download source file" data-toggle="tooltip"
|
|
data-placement="left">.ipynb</button></a>
|
|
<!-- Download PDF via print -->
|
|
<button type="button" id="download-print" class="btn btn-secondary topbarbtn" title="Print to PDF"
|
|
onclick="printPdf(this)" data-toggle="tooltip" data-placement="left">.pdf</button>
|
|
</div>
|
|
</div>
|
|
|
|
<!-- Source interaction buttons -->
|
|
|
|
<!-- Full screen (wrap in <a> to have style consistency -->
|
|
|
|
<a class="full-screen-button"><button type="button" class="btn btn-secondary topbarbtn" data-toggle="tooltip"
|
|
data-placement="bottom" onclick="toggleFullScreen()" aria-label="Fullscreen mode"
|
|
title="Fullscreen mode"><i
|
|
class="fas fa-expand"></i></button></a>
|
|
|
|
<!-- Launch buttons -->
|
|
|
|
</div>
|
|
|
|
<!-- Table of contents -->
|
|
<div class="d-none d-md-block col-md-2 bd-toc show noprint">
|
|
|
|
<div class="tocsection onthispage pt-5 pb-3">
|
|
<i class="fas fa-list"></i> Contents
|
|
</div>
|
|
<nav id="bd-toc-nav" aria-label="Page">
|
|
<ul class="visible nav section-nav flex-column">
|
|
<li class="toc-h1 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#">
|
|
Exercise week 47
|
|
</a>
|
|
</li>
|
|
<li class="toc-h1 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#overarching-aims-of-the-exercises-this-week">
|
|
Overarching aims of the exercises this week
|
|
</a>
|
|
<ul class="visible nav section-nav flex-column">
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#why-did-you-choose-this-course">
|
|
Why did you choose this course?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#what-was-your-programming-knowledge-before-you-started">
|
|
What was your programming knowledge before you started?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#how-do-you-judge-your-own-level-of-knowledge-on-machine-learning-before-and-after-this-course">
|
|
How do you judge your own level of knowledge on machine learning before and after this course?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#did-the-projects-and-the-teaching-material-allow-you-to-deepen-your-insights-about-machine-learning">
|
|
Did the projects and the teaching material allow you to deepen your insights about Machine Learning?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#project-based-teaching-and-active-learning">
|
|
Project based teaching and active learning
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#usefulness-of-the-weekly-exercises">
|
|
Usefulness of the weekly exercises
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#active-learning-lab-sessions-and-lectures">
|
|
Active learning/lab sessions and lectures
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#how-would-you-improve-this-course">
|
|
How would you improve this course?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#then-some-basic-questions">
|
|
Then some basic questions
|
|
</a>
|
|
<ul class="nav section-nav flex-column">
|
|
<li class="toc-h3 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#which-is-your-preferred-information-chanel-canvas-discord-mail-or-other">
|
|
Which is your preferred information chanel, Canvas, Discord, mail or other?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h3 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#was-the-weekly-update-with-plans-etc-useful">
|
|
Was the weekly update with plans etc useful?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h3 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#was-it-easy-to-access-the-course-material">
|
|
Was it easy to access the course material?
|
|
</a>
|
|
</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">
|
|
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">
|
|
<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">
|
|
If you did not attend the lectures or the active learning/lab sessions, which resources did you use?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h3 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#any-other-topics-impressions-ideas-etc-you-would-like-to-share-with-us">
|
|
Any other topics, impressions, ideas etc you would like to share with us?
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
|
|
</nav>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div id="main-content" class="row">
|
|
<div class="col-12 col-md-9 pl-md-3 pr-md-0">
|
|
<!-- Table of contents that is only displayed when printing the page -->
|
|
<div id="jb-print-docs-body" class="onlyprint">
|
|
<h1>Exercise week 47</h1>
|
|
<!-- Table of contents -->
|
|
<div id="print-main-content">
|
|
<div id="jb-print-toc">
|
|
|
|
<div>
|
|
<h2> Contents </h2>
|
|
</div>
|
|
<nav aria-label="Page">
|
|
<ul class="visible nav section-nav flex-column">
|
|
<li class="toc-h1 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#">
|
|
Exercise week 47
|
|
</a>
|
|
</li>
|
|
<li class="toc-h1 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#overarching-aims-of-the-exercises-this-week">
|
|
Overarching aims of the exercises this week
|
|
</a>
|
|
<ul class="visible nav section-nav flex-column">
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#why-did-you-choose-this-course">
|
|
Why did you choose this course?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#what-was-your-programming-knowledge-before-you-started">
|
|
What was your programming knowledge before you started?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#how-do-you-judge-your-own-level-of-knowledge-on-machine-learning-before-and-after-this-course">
|
|
How do you judge your own level of knowledge on machine learning before and after this course?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#did-the-projects-and-the-teaching-material-allow-you-to-deepen-your-insights-about-machine-learning">
|
|
Did the projects and the teaching material allow you to deepen your insights about Machine Learning?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#project-based-teaching-and-active-learning">
|
|
Project based teaching and active learning
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#usefulness-of-the-weekly-exercises">
|
|
Usefulness of the weekly exercises
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#active-learning-lab-sessions-and-lectures">
|
|
Active learning/lab sessions and lectures
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#how-would-you-improve-this-course">
|
|
How would you improve this course?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h2 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#then-some-basic-questions">
|
|
Then some basic questions
|
|
</a>
|
|
<ul class="nav section-nav flex-column">
|
|
<li class="toc-h3 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#which-is-your-preferred-information-chanel-canvas-discord-mail-or-other">
|
|
Which is your preferred information chanel, Canvas, Discord, mail or other?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h3 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#was-the-weekly-update-with-plans-etc-useful">
|
|
Was the weekly update with plans etc useful?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h3 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#was-it-easy-to-access-the-course-material">
|
|
Was it easy to access the course material?
|
|
</a>
|
|
</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">
|
|
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">
|
|
<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">
|
|
If you did not attend the lectures or the active learning/lab sessions, which resources did you use?
|
|
</a>
|
|
</li>
|
|
<li class="toc-h3 nav-item toc-entry">
|
|
<a class="reference internal nav-link" href="#any-other-topics-impressions-ideas-etc-you-would-like-to-share-with-us">
|
|
Any other topics, impressions, ideas etc you would like to share with us?
|
|
</a>
|
|
</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
|
|
</nav>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<div>
|
|
|
|
<!-- HTML file automatically generated from DocOnce source (https://github.com/doconce/doconce/)
|
|
doconce format html exercisesweek47.do.txt -->
|
|
<!-- dom:TITLE: Exercise week 47 --><div class="tex2jax_ignore mathjax_ignore section" id="exercise-week-47">
|
|
<h1>Exercise week 47<a class="headerlink" href="#exercise-week-47" title="Permalink to this headline">¶</a></h1>
|
|
<p><strong>November 20-24, 2023</strong></p>
|
|
<p>Date: <strong>Deadline is Sunday November 26 at midnight</strong></p>
|
|
</div>
|
|
<div class="tex2jax_ignore mathjax_ignore section" id="overarching-aims-of-the-exercises-this-week">
|
|
<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>
|
|
<p>The exercise this week is a simple course survey and feedback. This
|
|
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>
|
|
<div class="section" id="why-did-you-choose-this-course">
|
|
<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>
|
|
</div>
|
|
<div class="section" id="did-the-projects-and-the-teaching-material-allow-you-to-deepen-your-insights-about-machine-learning">
|
|
<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>
|
|
</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 prefer 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>
|
|
</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>
|
|
</div>
|
|
<div class="section" id="then-some-basic-questions">
|
|
<h2>Then some basic questions<a class="headerlink" href="#then-some-basic-questions" title="Permalink to this headline">¶</a></h2>
|
|
<div class="section" id="which-is-your-preferred-information-chanel-canvas-discord-mail-or-other">
|
|
<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>
|
|
</div>
|
|
<div class="section" id="was-the-weekly-update-with-plans-etc-useful">
|
|
<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>
|
|
</div>
|
|
<div class="section" id="if-you-did-not-attend-the-lectures-or-the-active-learning-lab-sessions-which-resources-did-you-use">
|
|
<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>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
<script type="text/x-thebe-config">
|
|
{
|
|
requestKernel: true,
|
|
binderOptions: {
|
|
repo: "binder-examples/jupyter-stacks-datascience",
|
|
ref: "master",
|
|
},
|
|
codeMirrorConfig: {
|
|
theme: "abcdef",
|
|
mode: "python"
|
|
},
|
|
kernelOptions: {
|
|
kernelName: "python3",
|
|
path: "./."
|
|
},
|
|
predefinedOutput: true
|
|
}
|
|
</script>
|
|
<script>kernelName = 'python3'</script>
|
|
|
|
</div>
|
|
|
|
|
|
<!-- Previous / next buttons -->
|
|
<div class='prev-next-area'>
|
|
<a class='left-prev' id="prev-link" href="week47.html" title="previous page">
|
|
<i class="fas fa-angle-left"></i>
|
|
<div class="prev-next-info">
|
|
<p class="prev-next-subtitle">previous</p>
|
|
<p class="prev-next-title">Week 47: From Decision Trees to Ensemble Methods, Random Forests and Boosting Methods and Summary of Course</p>
|
|
</div>
|
|
</a>
|
|
<a class='right-next' id="next-link" href="project1.html" title="next page">
|
|
<div class="prev-next-info">
|
|
<p class="prev-next-subtitle">next</p>
|
|
<p class="prev-next-title">Project 1 on Machine Learning, deadline October 9 (midnight), 2023</p>
|
|
</div>
|
|
<i class="fas fa-angle-right"></i>
|
|
</a>
|
|
</div>
|
|
|
|
</div>
|
|
</div>
|
|
<footer class="footer">
|
|
<p>
|
|
|
|
By Morten Hjorth-Jensen<br/>
|
|
|
|
© Copyright 2021.<br/>
|
|
</p>
|
|
</footer>
|
|
</main>
|
|
|
|
|
|
</div>
|
|
</div>
|
|
|
|
<script src="_static/js/index.be7d3bbb2ef33a8344ce.js"></script>
|
|
|
|
</body>
|
|
</html> |