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{
"alias": "video/2606/realtime-predictive-analytics-using-scikit-learn",
"category": "PyCon US 2014",
"copyright_text": "http://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": "http://i1.ytimg.com/vi/WPyNdHygBD0/hqdefault.jpg",
"title": "Realtime predictive analytics using scikit-learn & RabbitMQ",
"videos": [
{
"length": 0,
"type": "youtube",
"url": "http://www.youtube.com/watch?v=WPyNdHygBD0"
}
]
}