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Morten Hjorth-Jensen
2025-09-02 06:25:20 +02:00
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<h2 id="preamble-note-on-writing-reports-using-reference-material-ai-and-other-tools" class="anchor">Preamble: Note on writing reports, using reference material, AI and other tools </h2>
<p>We want you to answer the three different projects by handing in
reports written like a standard scientific/technical report. The links
at <a href="https://github.com/CompPhysics/MachineLearning/tree/master/doc/Projects" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/tree/master/doc/Projects</tt></a>
Furthermore, at the same link,
you can find examples of previous reports. How to write reports will
also be discussed during the various lab sessions. Please do ask us if you are in doubt.
reports written like a standard scientific/technical report. The
links at
<a href="https://github.com/CompPhysics/MachineLearning/tree/master/doc/Projects" target="_self"><tt>https://github.com/CompPhysics/MachineLearning/tree/master/doc/Projects</tt></a>
contain more information. There you can find examples of previous
reports, the projects themselves, how we rade reports etc. How to
write reports will also be discussed during the various lab
sessions. Please do ask us if you are in doubt.
</p>
<p>When using codes and material from other sources, you should refer to
these in the bibliography of your report, indicating wherefrom you for
example got the code, whether this is from the lecture notes,
softwares like Scikit-Learn, TensorFlow, PyTorch or other sources such
AI software. These should always be cited correctly. How to cite some
softwares like Scikit-Learn, TensorFlow, PyTorch or other sources. These sources
should always be cited correctly. How to cite some
of the libraries is often indicated from their corresponding GitHub
sites or websites, see for example how to cite Scikit-Learn at
<a href="https://scikit-learn.org/dev/about.html" target="_self"><tt>https://scikit-learn.org/dev/about.html</tt></a>.