gonul-ayci-active-learning-with-bayesian-nonnegative-matrix-factorization-pydata-berlin-2019.json

{
  "description": "Speaker: G\u00f6n\u00fcl Ayc\u0131\n\nTrack:PyData\nIn most of the systems, collecting data is not always free. I will talk about an approach for a matrix completion problem that learns a distribution of data where information is incomplete or collecting it has a cost.\n\nRecorded at the PyConDE & PyData Berlin 2019 conference.\nhttps://pycon.de\n\nMore details at the conference page: https://de.pycon.org/program/ZBEEM3\nTwitter:  https://twitter.com/pydataberlin\nTwitter:  https://twitter.com/pyconde",
  "recorded": "2019-10-10",
  "related_urls": [
    {
      "label": "Conference Schedule",
      "url": "https://de.pycon.org/program/ZBEEM3"
    }
  ],
  "speakers": [
    "G\u00f6n\u00fcl Ayc\u0131"
  ],
  "thumbnail_url": "https://i.ytimg.com/vi/JF3-JHFZukw/hqdefault.jpg",
  "title": "Active Learning with Bayesian Nonnegative Matrix Factorization...",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=JF3-JHFZukw"
    }
  ]
}