September 8, 2020 Other Open Access

Fouilloux, Anne; Steinbach, Peter

Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Fouilloux, Anne</dc:creator>
  <dc:creator>Steinbach, Peter</dc:creator>
  <dc:date>2020-09-08</dc:date>
  <dc:description>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.

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/</dc:description>
  <dc:description>The talk was created in a collaborative fashion on hackmd.io Therefor this contains the final pdf of the slides and the markdown file.</dc:description>
  <dc:identifier>https://rodare.hzdr.de/record/753</dc:identifier>
  <dc:identifier>10.14278/rodare.753</dc:identifier>
  <dc:identifier>oai:rodare.hzdr.de:753</dc:identifier>
  <dc:relation>url:https://www.hzdr.de/publications/Publ-32121</dc:relation>
  <dc:relation>doi:10.14278/rodare.752</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>teaching</dc:subject>
  <dc:subject>compact courses</dc:subject>
  <dc:subject>machine learning</dc:subject>
  <dc:subject>artificial intelligence</dc:subject>
  <dc:title>Teaching ML in Compact Courses</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>other</dc:type>
</oai_dc:dc>