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{ "category": "PyCon US 2012", "language": "English", "slug": "practical-machine-learning-in-python", "speakers": [ "Matt Spitz" ], "tags": [], "id": 636, "state": 1, "title": "Practical Machine Learning in Python", "summary": "There are a plethora of options when it comes to deciding how to add a machine\nlearning component to your python application. In this talk, I'll discuss why\npython as a language is well-suited to solving these particular problems, the\ntradeoffs of different machine learning solutions for python applications, and\nsome tricks you can use to get the most out of whatever package you decide to\nuse.\n\n", "description": "", "quality_notes": "", "copyright_text": "", "embed": "<object width=\"425\" height=\"344\"><param name=\"movie\" value=\";f=videos&amp;app=youtube_gdata\"><param name=\"allowFullScreen\" value=\"true\"><param name=\"allowscriptaccess\" value=\"always\"><embed src=\";f=videos&amp;app=youtube_gdata\" allowscriptaccess=\"always\" height=\"344\" width=\"425\" allowfullscreen=\"true\" type=\"application/x-shockwave-flash\"></embed></object>", "thumbnail_url": "", "duration": null, "video_ogv_length": null, "video_ogv_url": null, "video_ogv_download_only": false, "video_mp4_length": null, "video_mp4_url": null, "video_mp4_download_only": false, "video_webm_length": null, "video_webm_url": null, "video_webm_download_only": false, "video_flv_length": null, "video_flv_url": null, "video_flv_download_only": false, "source_url": "", "whiteboard": "", "recorded": "2012-03-09", "added": "2012-03-12T20:00:09", "updated": "2014-04-08T20:28:27.604" }