<?xml version="1.0" encoding="UTF-8"?>
<!-- generator="FeedCreator 1.8" -->
<?xml-stylesheet href="https://courses.pzhou.org/lib/exe/css.php?s=feed" type="text/css"?>
<rdf:RDF
    xmlns="http://purl.org/rss/1.0/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
    xmlns:dc="http://purl.org/dc/elements/1.1/">
    <channel rdf:about="https://courses.pzhou.org/feed.php">
        <title>Lecture Notes math105-s22:s:rasmuspallisgaard</title>
        <description></description>
        <link>https://courses.pzhou.org/</link>
        <image rdf:resource="https://courses.pzhou.org/lib/tpl/dokuwiki/images/favicon.ico" />
       <dc:date>2026-04-17T12:54:23+00:00</dc:date>
        <items>
            <rdf:Seq>
                <rdf:li rdf:resource="https://courses.pzhou.org/doku.php?id=math105-s22:s:rasmuspallisgaard:start&amp;rev=1771684869&amp;do=diff"/>
            </rdf:Seq>
        </items>
    </channel>
    <image rdf:about="https://courses.pzhou.org/lib/tpl/dokuwiki/images/favicon.ico">
        <title>Lecture Notes</title>
        <link>https://courses.pzhou.org/</link>
        <url>https://courses.pzhou.org/lib/tpl/dokuwiki/images/favicon.ico</url>
    </image>
    <item rdf:about="https://courses.pzhou.org/doku.php?id=math105-s22:s:rasmuspallisgaard:start&amp;rev=1771684869&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2026-02-21T14:41:09+00:00</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>Rasmus Pallisgaard</title>
        <link>https://courses.pzhou.org/doku.php?id=math105-s22:s:rasmuspallisgaard:start&amp;rev=1771684869&amp;do=diff</link>
        <description>Rasmus Pallisgaard

Hi everyone, I&#039;m Rasmus and I&#039;m an exchange student all the way from Denmark. Back home I study Machine Learning and have done research in the field of NLP, specifically studying multilingual models. I&#039;m at Berkeley for a semester to study mathematics for a semester in order to get more familiar with the rigorous nature of maths (ML research is basically result driven with little theory to back it up - godspeed!). If you want to hear about whether AI will kill us all one day …</description>
    </item>
</rdf:RDF>
