realtime-predictive-analytics-using-scikit-learn.json

{
  "alias": "video/2606/realtime-predictive-analytics-using-scikit-learn",
  "category": "PyCon US 2014",
  "copyright_text": "https://www.youtube.com/t/terms",
  "description": "",
  "duration": null,
  "id": 2606,
  "language": "eng",
  "quality_notes": "",
  "recorded": "2014-04-12",
  "slug": "realtime-predictive-analytics-using-scikit-learn",
  "speakers": [
    "Michael Becker"
  ],
  "summary": "scikit-learn is an awesome tool allowing developers with little or no\nmachine learning knowledge to predict the future! But once you've\ntrained a scikit-learn algorithm, what now? In this talk, I describe how\nto deploy a predictive model in a production environment using\nscikit-learn and RabbitMQ. You'll see a realtime content classification\nsystem to demonstrate this design.\n",
  "tags": [],
  "thumbnail_url": "https://i1.ytimg.com/vi/WPyNdHygBD0/hqdefault.jpg",
  "title": "Realtime predictive analytics using scikit-learn & RabbitMQ",
  "videos": [
    {
      "length": 0,
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=WPyNdHygBD0"
    }
  ]
}