September 8, 2020 Other Open Access

Fouilloux, Anne; Steinbach, Peter

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{
  "keywords": [
    "teaching", 
    "compact courses", 
    "machine learning", 
    "artificial intelligence"
  ], 
  "url": "https://rodare.hzdr.de/record/753", 
  "@context": "https://schema.org/", 
  "datePublished": "2020-09-08", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "@type": "CreativeWork", 
  "creator": [
    {
      "name": "Fouilloux, Anne", 
      "affiliation": "University of Oslo", 
      "@id": "https://orcid.org/0000-0002-1784-2920", 
      "@type": "Person"
    }, 
    {
      "name": "Steinbach, Peter", 
      "affiliation": "HZDR", 
      "@id": "https://orcid.org/0000-0002-4974-230X", 
      "@type": "Person"
    }
  ], 
  "sameAs": [
    "https://www.hzdr.de/publications/Publ-32121"
  ], 
  "name": "Teaching ML in Compact Courses", 
  "@id": "https://doi.org/10.14278/rodare.753", 
  "description": "<p>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.</p>\n\n<p>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/</p>", 
  "identifier": "https://doi.org/10.14278/rodare.753"
}