visual-diagnostics-for-more-informed-machine-learning.json

{
  "copyright_text": "Standard YouTube License",
  "description": "PyData DC 2016\n\nVisualization has a critical role to play throughout the analytic process. Where static outputs and tabular data can obscure patterns, human visual analysis can open up insights that lead to more robust data products. For Python programmers who dabble in machine learning, visual diagnostics are a must-have for effective feature analysis, model selection, and parameter tuning.",
  "duration": 2338,
  "language": "eng",
  "recorded": "2016-10-09",
  "related_urls": [
    "http://pydata.org/dc2016/schedule/presentation/39/"
  ],
  "speakers": [
    "Rebecca Bilbro"
  ],
  "tags": [
    "learning",
    "machine learning"
  ],
  "thumbnail_url": "https://i.ytimg.com/vi/xJYerGy8SzY/maxresdefault.jpg",
  "title": "Visual diagnostics for more informed machine learning",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=xJYerGy8SzY"
    }
  ]
}