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Teaching ML in Compact Courses

Fouilloux, Anne; Steinbach, Peter


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  <identifier identifierType="DOI">10.14278/rodare.753</identifier>
  <creators>
    <creator>
      <creatorName>Fouilloux, Anne</creatorName>
      <givenName>Anne</givenName>
      <familyName>Fouilloux</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-1784-2920</nameIdentifier>
      <affiliation>University of Oslo</affiliation>
    </creator>
    <creator>
      <creatorName>Steinbach, Peter</creatorName>
      <givenName>Peter</givenName>
      <familyName>Steinbach</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4974-230X</nameIdentifier>
      <affiliation>HZDR</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Teaching ML in Compact Courses</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>teaching</subject>
    <subject>compact courses</subject>
    <subject>machine learning</subject>
    <subject>artificial intelligence</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-09-08</date>
  </dates>
  <resourceType resourceTypeGeneral="Other"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/753</alternateIdentifier>
  </alternateIdentifiers>
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    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-32121</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.752</relatedIdentifier>
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  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This talk summarizes the experiences made with teaching Machine Learning within compact events that stretch over several days to a week maximum. Both speakers explain pitfalls they were caught in as well as solutions they found.&lt;/p&gt;

&lt;p&gt;This talk was given at the Teaching Machine Learning workshop at ECML-PKDD 2020. For more details and information see https://teaching-ml.github.io/2020/&lt;/p&gt;</description>
    <description descriptionType="Other">The talk was created in a collaborative fashion on hackmd.io Therefor this contains the final pdf of the slides and the markdown file.</description>
  </descriptions>
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