Morten Hjorth-Jensen
292 lines
15 KiB
HTML
292 lines
15 KiB
HTML
<!--
|
|
Automatically generated HTML file from DocOnce source
|
|
(https://github.com/doconce/doconce/)
|
|
-->
|
|
<html>
|
|
<head>
|
|
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
|
|
<meta name="generator" content="DocOnce: https://github.com/doconce/doconce/" />
|
|
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
|
<meta name="description" content="Week 34: Introduction to the course, Logistics and Practicalities">
|
|
|
|
<title>Week 34: Introduction to the course, Logistics and Practicalities</title>
|
|
|
|
<!-- Bootstrap style: bootstrap -->
|
|
<link href="https://netdna.bootstrapcdn.com/bootstrap/3.1.1/css/bootstrap.min.css" rel="stylesheet">
|
|
<!-- not necessary
|
|
<link href="https://netdna.bootstrapcdn.com/font-awesome/4.0.3/css/font-awesome.css" rel="stylesheet">
|
|
-->
|
|
|
|
<style type="text/css">
|
|
|
|
/* Add scrollbar to dropdown menus in bootstrap navigation bar */
|
|
.dropdown-menu {
|
|
height: auto;
|
|
max-height: 400px;
|
|
overflow-x: hidden;
|
|
}
|
|
|
|
/* Adds an invisible element before each target to offset for the navigation
|
|
bar */
|
|
.anchor::before {
|
|
content:"";
|
|
display:block;
|
|
height:50px; /* fixed header height for style bootstrap */
|
|
margin:-50px 0 0; /* negative fixed header height */
|
|
}
|
|
</style>
|
|
|
|
|
|
</head>
|
|
|
|
<!-- tocinfo
|
|
{'highest level': 2,
|
|
'sections': [('Overview of first week', 2, None, 'overview-of-first-week'),
|
|
('Reading Recommendations', 2, None, 'reading-recommendations'),
|
|
('Thursday August 26', 2, None, 'thursday-august-26'),
|
|
('Lectures and ComputerLab', 2, None, 'lectures-and-computerlab'),
|
|
('Course Format', 2, None, 'course-format'),
|
|
('Teachers', 2, None, 'teachers'),
|
|
('Deadlines for projects (tentative)',
|
|
2,
|
|
None,
|
|
'deadlines-for-projects-tentative'),
|
|
('Recommended textbooks', 2, None, 'recommended-textbooks'),
|
|
('Prerequisites', 2, None, 'prerequisites'),
|
|
('Learning outcomes', 2, None, 'learning-outcomes'),
|
|
('Topics covered in this course: Statistical analysis and '
|
|
'optimization of data',
|
|
2,
|
|
None,
|
|
'topics-covered-in-this-course-statistical-analysis-and-optimization-of-data'),
|
|
('Topics covered in this course: Machine Learning',
|
|
2,
|
|
None,
|
|
'topics-covered-in-this-course-machine-learning'),
|
|
('Extremely useful tools, strongly recommended',
|
|
2,
|
|
None,
|
|
'extremely-useful-tools-strongly-recommended'),
|
|
('Other courses on Data science and Machine Learning at UiO',
|
|
2,
|
|
None,
|
|
'other-courses-on-data-science-and-machine-learning-at-uio'),
|
|
('Introduction', 2, None, 'introduction'),
|
|
('What is Machine Learning?',
|
|
2,
|
|
None,
|
|
'what-is-machine-learning'),
|
|
('Types of Machine Learning',
|
|
2,
|
|
None,
|
|
'types-of-machine-learning'),
|
|
('Software and needed installations',
|
|
2,
|
|
None,
|
|
'software-and-needed-installations'),
|
|
('Python installers', 2, None, 'python-installers'),
|
|
('Useful Python libraries', 2, None, 'useful-python-libraries'),
|
|
('Installing R, C++, cython or Julia',
|
|
2,
|
|
None,
|
|
'installing-r-c-cython-or-julia'),
|
|
('Installing R, C++, cython, Numba etc',
|
|
2,
|
|
None,
|
|
'installing-r-c-cython-numba-etc'),
|
|
('Numpy examples and Important Matrix and vector handling '
|
|
'packages',
|
|
2,
|
|
None,
|
|
'numpy-examples-and-important-matrix-and-vector-handling-packages'),
|
|
('Basic Matrix Features', 2, None, 'basic-matrix-features'),
|
|
('Some famous Matrices', 3, None, 'some-famous-matrices'),
|
|
('More Basic Matrix Features',
|
|
3,
|
|
None,
|
|
'more-basic-matrix-features'),
|
|
('Numpy and arrays', 2, None, 'numpy-and-arrays'),
|
|
('Matrices in Python', 2, None, 'matrices-in-python'),
|
|
('Meet the Pandas', 2, None, 'meet-the-pandas'),
|
|
('Friday August 21', 2, None, 'friday-august-21'),
|
|
('Reading Data and fitting', 2, None, 'reading-data-and-fitting'),
|
|
('Friday August 27', 2, None, 'friday-august-27'),
|
|
('Simple linear regression model using _scikit-learn_',
|
|
3,
|
|
None,
|
|
'simple-linear-regression-model-using-_scikit-learn_'),
|
|
('To our real data: nuclear binding energies. Brief reminder on '
|
|
'masses and binding energies',
|
|
3,
|
|
None,
|
|
'to-our-real-data-nuclear-binding-energies-brief-reminder-on-masses-and-binding-energies'),
|
|
('Organizing our data', 3, None, 'organizing-our-data'),
|
|
('Seeing the wood for the trees',
|
|
3,
|
|
None,
|
|
'seeing-the-wood-for-the-trees'),
|
|
('And what about using neural networks?',
|
|
3,
|
|
None,
|
|
'and-what-about-using-neural-networks'),
|
|
('A first summary', 2, None, 'a-first-summary')]}
|
|
end of tocinfo -->
|
|
|
|
<body>
|
|
|
|
|
|
|
|
<script type="text/x-mathjax-config">
|
|
MathJax.Hub.Config({
|
|
TeX: {
|
|
equationNumbers: { autoNumber: "none" },
|
|
extensions: ["AMSmath.js", "AMSsymbols.js", "autobold.js", "color.js"]
|
|
}
|
|
});
|
|
</script>
|
|
<script type="text/javascript" async
|
|
src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
|
|
</script>
|
|
|
|
|
|
|
|
|
|
<!-- Bootstrap navigation bar -->
|
|
<div class="navbar navbar-default navbar-fixed-top">
|
|
<div class="navbar-header">
|
|
<button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".navbar-responsive-collapse">
|
|
<span class="icon-bar"></span>
|
|
<span class="icon-bar"></span>
|
|
<span class="icon-bar"></span>
|
|
</button>
|
|
<a class="navbar-brand" href="week34-bs.html">Week 34: Introduction to the course, Logistics and Practicalities</a>
|
|
</div>
|
|
|
|
<div class="navbar-collapse collapse navbar-responsive-collapse">
|
|
<ul class="nav navbar-nav navbar-right">
|
|
<li class="dropdown">
|
|
<a href="#" class="dropdown-toggle" data-toggle="dropdown">Contents <b class="caret"></b></a>
|
|
<ul class="dropdown-menu">
|
|
<!-- navigation toc: --> <li><a href="._week34-bs001.html#overview-of-first-week" style="font-size: 80%;"><b>Overview of first week</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs002.html#reading-recommendations" style="font-size: 80%;"><b>Reading Recommendations</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs003.html#thursday-august-26" style="font-size: 80%;"><b>Thursday August 26</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs004.html#lectures-and-computerlab" style="font-size: 80%;"><b>Lectures and ComputerLab</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs005.html#course-format" style="font-size: 80%;"><b>Course Format</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs006.html#teachers" style="font-size: 80%;"><b>Teachers</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs007.html#deadlines-for-projects-tentative" style="font-size: 80%;"><b>Deadlines for projects (tentative)</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs008.html#recommended-textbooks" style="font-size: 80%;"><b>Recommended textbooks</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs009.html#prerequisites" style="font-size: 80%;"><b>Prerequisites</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs010.html#learning-outcomes" style="font-size: 80%;"><b>Learning outcomes</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs011.html#topics-covered-in-this-course-statistical-analysis-and-optimization-of-data" style="font-size: 80%;"><b>Topics covered in this course: Statistical analysis and optimization of data</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs012.html#topics-covered-in-this-course-machine-learning" style="font-size: 80%;"><b>Topics covered in this course: Machine Learning</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs013.html#extremely-useful-tools-strongly-recommended" style="font-size: 80%;"><b>Extremely useful tools, strongly recommended</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs014.html#other-courses-on-data-science-and-machine-learning-at-uio" style="font-size: 80%;"><b>Other courses on Data science and Machine Learning at UiO</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs015.html#introduction" style="font-size: 80%;"><b>Introduction</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs016.html#what-is-machine-learning" style="font-size: 80%;"><b>What is Machine Learning?</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs017.html#types-of-machine-learning" style="font-size: 80%;"><b>Types of Machine Learning</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs018.html#software-and-needed-installations" style="font-size: 80%;"><b>Software and needed installations</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs019.html#python-installers" style="font-size: 80%;"><b>Python installers</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs020.html#useful-python-libraries" style="font-size: 80%;"><b>Useful Python libraries</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs021.html#installing-r-c-cython-or-julia" style="font-size: 80%;"><b>Installing R, C++, cython or Julia</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs022.html#installing-r-c-cython-numba-etc" style="font-size: 80%;"><b>Installing R, C++, cython, Numba etc</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs023.html#numpy-examples-and-important-matrix-and-vector-handling-packages" style="font-size: 80%;"><b>Numpy examples and Important Matrix and vector handling packages</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs024.html#basic-matrix-features" style="font-size: 80%;"><b>Basic Matrix Features</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs025.html#some-famous-matrices" style="font-size: 80%;"> Some famous Matrices</a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs026.html#more-basic-matrix-features" style="font-size: 80%;"> More Basic Matrix Features</a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs027.html#numpy-and-arrays" style="font-size: 80%;"><b>Numpy and arrays</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs028.html#matrices-in-python" style="font-size: 80%;"><b>Matrices in Python</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs029.html#meet-the-pandas" style="font-size: 80%;"><b>Meet the Pandas</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs030.html#friday-august-21" style="font-size: 80%;"><b>Friday August 21</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs031.html#reading-data-and-fitting" style="font-size: 80%;"><b>Reading Data and fitting</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs032.html#friday-august-27" style="font-size: 80%;"><b>Friday August 27</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs033.html#simple-linear-regression-model-using-_scikit-learn_" style="font-size: 80%;"> Simple linear regression model using <b>scikit-learn</b></a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs033.html#to-our-real-data-nuclear-binding-energies-brief-reminder-on-masses-and-binding-energies" style="font-size: 80%;"> To our real data: nuclear binding energies. Brief reminder on masses and binding energies</a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs033.html#organizing-our-data" style="font-size: 80%;"> Organizing our data</a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs033.html#seeing-the-wood-for-the-trees" style="font-size: 80%;"> Seeing the wood for the trees</a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs033.html#and-what-about-using-neural-networks" style="font-size: 80%;"> And what about using neural networks?</a></li>
|
|
<!-- navigation toc: --> <li><a href="._week34-bs033.html#a-first-summary" style="font-size: 80%;"><b>A first summary</b></a></li>
|
|
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
</div>
|
|
</div>
|
|
</div> <!-- end of navigation bar -->
|
|
|
|
<div class="container">
|
|
|
|
<p> </p><p> </p><p> </p> <!-- add vertical space -->
|
|
|
|
<a name="part0000"></a>
|
|
<!-- ------------------- main content ---------------------- -->
|
|
|
|
|
|
|
|
<div class="jumbotron">
|
|
<center><h1>Week 34: Introduction to the course, Logistics and Practicalities</h1></center> <!-- document title -->
|
|
|
|
<p>
|
|
<!-- author(s): Morten Hjorth-Jensen -->
|
|
|
|
<center>
|
|
<b>Morten Hjorth-Jensen</b> [1, 2]
|
|
</center>
|
|
|
|
<p>
|
|
<!-- institution(s) -->
|
|
|
|
<center>[1] <b>Department of Physics, University of Oslo</b></center>
|
|
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
|
|
<br>
|
|
<p>
|
|
<center><h4>Aug 24, 2021</h4></center> <!-- date -->
|
|
<br>
|
|
<p>
|
|
|
|
|
|
<p><a href="._week34-bs001.html" class="btn btn-primary btn-lg">Read »</a></p>
|
|
|
|
|
|
</div> <!-- end jumbotron -->
|
|
|
|
<p>
|
|
<!-- navigation buttons at the bottom of the page -->
|
|
<ul class="pagination">
|
|
<li class="active"><a href="._week34-bs000.html">1</a></li>
|
|
<li><a href="._week34-bs001.html">2</a></li>
|
|
<li><a href="._week34-bs002.html">3</a></li>
|
|
<li><a href="._week34-bs003.html">4</a></li>
|
|
<li><a href="._week34-bs004.html">5</a></li>
|
|
<li><a href="._week34-bs005.html">6</a></li>
|
|
<li><a href="._week34-bs006.html">7</a></li>
|
|
<li><a href="._week34-bs007.html">8</a></li>
|
|
<li><a href="._week34-bs008.html">9</a></li>
|
|
<li><a href="._week34-bs009.html">10</a></li>
|
|
<li><a href="">...</a></li>
|
|
<li><a href="._week34-bs033.html">34</a></li>
|
|
<li><a href="._week34-bs001.html">»</a></li>
|
|
</ul>
|
|
<!-- ------------------- end of main content --------------- -->
|
|
|
|
</div> <!-- end container -->
|
|
<!-- include javascript, jQuery *first* -->
|
|
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.10.2/jquery.min.js"></script>
|
|
<script src="https://netdna.bootstrapcdn.com/bootstrap/3.0.0/js/bootstrap.min.js"></script>
|
|
|
|
<!-- Bootstrap footer
|
|
<footer>
|
|
<a href="https://..."><img width="250" align=right src="https://..."></a>
|
|
</footer>
|
|
-->
|
|
|
|
|
|
<center style="font-size:80%">
|
|
<!-- copyright --> © 1999-2021, Morten Hjorth-Jensen. Released under CC Attribution-NonCommercial 4.0 license
|
|
</center>
|
|
|
|
|
|
</body>
|
|
</html>
|
|
|
|
|