an-introduction-to-machine-learning-in-python.json

{
  "alias": "video/3929/an-introduction-to-machine-learning-in-python",
  "category": "PyCon ZA 2015",
  "copyright_text": "",
  "description": "In this tutorial, two main areas will be covered using Textural Images\nDataset:\n\n.. raw:: html\n\n   <ol>\n   <li>\n\nTextural Features Methods: (Grey Level Co-occurrence Matrix(GLCM), Local\nBinary Pattern(LBP) and Local Directional Pattern(LDP))\n\n.. raw:: html\n\n   </li>\n   <li>\n\nClassification using Support Vector Machine (SVM) and Naive Bayes(NB).\n\n.. raw:: html\n\n   </li>\n   </ol>\n\nBoth Features Extraction and Classification will be implemented using\nPython.\n\nTexture is a very important factor in computer vision; it represents the\nfirst level of spatial properties that can be extracted from digital\nimage. Texture can be defined as relationship between gray level in\nneighboring pixels.\n",
  "duration": 4279,
  "id": 3929,
  "language": "eng",
  "quality_notes": "",
  "recorded": "2015-10-01",
  "slug": "an-introduction-to-machine-learning-in-python",
  "speakers": [
    "Abuobayda Shabat"
  ],
  "summary": "",
  "tags": [
    "Room 211"
  ],
  "thumbnail_url": "https://i.ytimg.com/vi/s041lMgOlgs/hqdefault.jpg",
  "title": "An Introduction to Image Classification",
  "videos": [
    {
      "length": 0,
      "type": "youtube",
      "url": "http://youtu.be/s041lMgOlgs"
    }
  ]
}