{
  "id": 6837,
  "title": "A novice can anyone help?",
  "url": "/competitions/galaxy-zoo-the-galaxy-challenge/discussion/6837",
  "author_name": "",
  "post_date": "2014-01-15T07:12:34.500Z",
  "votes": null,
  "comment_count": 4,
  "views": 1650,
  "content": "<p>hey everyone,</p>\n<p>i am new to this type of contest , can any one guide me what is benchmarking &amp; how to start working regarding this.</p>\n<p>i will be thankful if someone can provide me some text material &amp; some initial basics steps &nbsp;to start for this contest i am a little bit confused.</p>\n<p>i am using matlab, but i am interested to learn some basics through this contest.</p>\n<p>&nbsp;</p>\n<p>thanks</p>",
  "messages": [
    {
      "id": "37389",
      "postDate": "01/15/2014 07:12:34",
      "content": "<p>hey everyone,</p>\n<p>i am new to this type of contest , can any one guide me what is benchmarking &amp; how to start working regarding this.</p>\n<p>i will be thankful if someone can provide me some text material &amp; some initial basics steps &nbsp;to start for this contest i am a little bit confused.</p>\n<p>i am using matlab, but i am interested to learn some basics through this contest.</p>\n<p>&nbsp;</p>\n<p>thanks</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "37390",
      "postDate": "01/15/2014 07:53:21",
      "content": "<p>Are you new to image classification tasks or new to machine learning in general?</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "37391",
      "postDate": "01/15/2014 08:22:18",
      "content": "<p>i am new to image classification task as i am not getting how to start ?</p>\n<p>thanks.</p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "37403",
      "postDate": "01/15/2014 13:56:43",
      "content": "<p><span style=\"line-height: 1.4\">Abhishek has written a basic recipe to get started in this competition, the corresponding forum post is <a href=\"https://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/6803/beating-the-benchmark\" target=\"_blank\">here</a>.&nbsp;</span><span style=\"line-height: 1.4\">There is also some information regarding reading and writing of image files in that thread (unfortunately for you it's all in Python, but it should give you a general idea about how to transform the input). Hope that helps.</span></p>",
      "rawMarkdown": "",
      "votes": null
    },
    {
      "id": "37404",
      "postDate": "01/15/2014 14:17:08",
      "content": "",
      "rawMarkdown": "",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 37390,
      "author_name": "mattvonrohr",
      "author_url": "",
      "post_date": "01/15/2014 07:53:21",
      "content": "<p>Are you new to image classification tasks or new to machine learning in general?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 37391,
      "author_name": "sandeepritu",
      "author_url": "",
      "post_date": "01/15/2014 08:22:18",
      "content": "<p>i am new to image classification task as i am not getting how to start ?</p>\n<p>thanks.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 37403,
      "author_name": "mattvonrohr",
      "author_url": "",
      "post_date": "01/15/2014 13:56:43",
      "content": "<p><span style=\"line-height: 1.4\">Abhishek has written a basic recipe to get started in this competition, the corresponding forum post is <a href=\"https://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge/forums/t/6803/beating-the-benchmark\" target=\"_blank\">here</a>.&nbsp;</span><span style=\"line-height: 1.4\">There is also some information regarding reading and writing of image files in that thread (unfortunately for you it's all in Python, but it should give you a general idea about how to transform the input). Hope that helps.</span></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 37404,
      "author_name": "sandeepritu",
      "author_url": "",
      "post_date": "01/15/2014 14:17:08",
      "content": "",
      "votes": null,
      "replies": []
    }
  ],
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