{
  "id": 47627,
  "title": "newbie needs help!",
  "url": "/competitions/data-science-bowl-2018/discussion/47627",
  "author_name": "",
  "post_date": "2018-01-17T05:14:18.647977200Z",
  "votes": null,
  "comment_count": 4,
  "views": 0,
  "content": "<p>hello everyone !</p>\n\n<p>This is my first kaggle competition and i have 3 months time, i want to excel in this competition.</p>\n\n<p>I have basic knowledge of deep Learning ( completed the Andrew Ng deeplearning and machine learning).</p>\n\n<p>Out there, there are a lot of papers and on kaggle there are a lot of motivating kernels. <strong>Given the vast resources, its bit hard to decide that how should I proceed</strong>.</p>\n\n<p>Sharing your ideas may help me use these 3 months more efficiently.</p>",
  "messages": [
    {
      "id": "269677",
      "postDate": "01/17/2018 05:14:18",
      "content": "<p>hello everyone !</p>\n\n<p>This is my first kaggle competition and i have 3 months time, i want to excel in this competition.</p>\n\n<p>I have basic knowledge of deep Learning ( completed the Andrew Ng deeplearning and machine learning).</p>\n\n<p>Out there, there are a lot of papers and on kaggle there are a lot of motivating kernels. <strong>Given the vast resources, its bit hard to decide that how should I proceed</strong>.</p>\n\n<p>Sharing your ideas may help me use these 3 months more efficiently.</p>",
      "rawMarkdown": "hello everyone !\n\nThis is my first kaggle competition and i have 3 months time, i want to excel in this competition.\n\nI have basic knowledge of deep Learning ( completed the Andrew Ng deeplearning and machine learning).\n\nOut there, there are a lot of papers and on kaggle there are a lot of motivating kernels. **Given the vast resources, its bit hard to decide that how should I proceed**.\n\nSharing your ideas may help me use these 3 months more efficiently.",
      "votes": null
    },
    {
      "id": "269718",
      "postDate": "01/17/2018 06:52:14",
      "content": "<p><a href=\"https://github.com/bharathgs/Awesome-pytorch-list\">https://github.com/bharathgs/Awesome-pytorch-list</a>,\n<a href=\"https://github.com/terryum/awesome-deep-learning-papers\">https://github.com/terryum/awesome-deep-learning-papers</a>\nThis is a image segmentation task  I think, you can check out relevant material for image segmentation.</p>\n\n<p>Previous competitions\n 1. <a href=\"https://www.kaggle.com/c/carvana-image-masking-challenge\">https://www.kaggle.com/c/carvana-image-masking-challenge</a>\n 2. <a href=\"https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection\">https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection</a>\n 3. <a href=\"https://www.kaggle.com/c/ultrasound-nerve-segmentation\">https://www.kaggle.com/c/ultrasound-nerve-segmentation</a></p>",
      "rawMarkdown": "https://github.com/bharathgs/Awesome-pytorch-list,\nhttps://github.com/terryum/awesome-deep-learning-papers\nThis is a image segmentation task  I think, you can check out relevant material for image segmentation.\n\nPrevious competitions\n 1. https://www.kaggle.com/c/carvana-image-masking-challenge\n 2. https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection\n 3. https://www.kaggle.com/c/ultrasound-nerve-segmentation",
      "votes": null
    },
    {
      "id": "269926",
      "postDate": "01/17/2018 14:37:55",
      "content": "<p>Thank you:)</p>",
      "rawMarkdown": "Thank you:)",
      "votes": null
    },
    {
      "id": "270165",
      "postDate": "01/17/2018 21:19:16",
      "content": "<p>Does anyone have any resources about EDA with image data sets?  I am familar with EDA for alot of structured databases, but I am not sure about what data scientists use for images.</p>\n\n<p>P.S.  Well other than for anonmaly detection, but I am not sure if that would be useful in this case.  </p>",
      "rawMarkdown": "Does anyone have any resources about EDA with image data sets?  I am familar with EDA for alot of structured databases, but I am not sure about what data scientists use for images.\n\nP.S.  Well other than for anonmaly detection, but I am not sure if that would be useful in this case.",
      "votes": null
    },
    {
      "id": "271116",
      "postDate": "01/19/2018 18:24:42",
      "content": "<p>Thanks Ravi ..U posted the link that has got everything that i can think of :)</p>\n\n<p>Its Awesome</p>",
      "rawMarkdown": "Thanks Ravi ..U posted the link that has got everything that i can think of :)\n\nIts Awesome",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 269718,
      "author_name": "rteja1113",
      "author_url": "",
      "post_date": "01/17/2018 06:52:14",
      "content": "<p><a href=\"https://github.com/bharathgs/Awesome-pytorch-list\">https://github.com/bharathgs/Awesome-pytorch-list</a>,\n<a href=\"https://github.com/terryum/awesome-deep-learning-papers\">https://github.com/terryum/awesome-deep-learning-papers</a>\nThis is a image segmentation task  I think, you can check out relevant material for image segmentation.</p>\n\n<p>Previous competitions\n 1. <a href=\"https://www.kaggle.com/c/carvana-image-masking-challenge\">https://www.kaggle.com/c/carvana-image-masking-challenge</a>\n 2. <a href=\"https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection\">https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection</a>\n 3. <a href=\"https://www.kaggle.com/c/ultrasound-nerve-segmentation\">https://www.kaggle.com/c/ultrasound-nerve-segmentation</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 269926,
          "author_name": "ashukr",
          "author_url": "",
          "post_date": "01/17/2018 14:37:55",
          "content": "<p>Thank you:)</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 271116,
          "author_name": "ashukr",
          "author_url": "",
          "post_date": "01/19/2018 18:24:42",
          "content": "<p>Thanks Ravi ..U posted the link that has got everything that i can think of :)</p>\n\n<p>Its Awesome</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 270165,
      "author_name": "skyrmion",
      "author_url": "",
      "post_date": "01/17/2018 21:19:16",
      "content": "<p>Does anyone have any resources about EDA with image data sets?  I am familar with EDA for alot of structured databases, but I am not sure about what data scientists use for images.</p>\n\n<p>P.S.  Well other than for anonmaly detection, but I am not sure if that would be useful in this case.  </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "269677": "hello everyone !\n\nThis is my first kaggle competition and i have 3 months time, i want to excel in this competition.\n\nI have basic knowledge of deep Learning ( completed the Andrew Ng deeplearning and machine learning).\n\nOut there, there are a lot of papers and on kaggle there are a lot of motivating kernels. **Given the vast resources, its bit hard to decide that how should I proceed**.\n\nSharing your ideas may help me use these 3 months more efficiently.",
    "269718": "https://github.com/bharathgs/Awesome-pytorch-list,\nhttps://github.com/terryum/awesome-deep-learning-papers\nThis is a image segmentation task  I think, you can check out relevant material for image segmentation.\n\nPrevious competitions\n 1. https://www.kaggle.com/c/carvana-image-masking-challenge\n 2. https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection\n 3. https://www.kaggle.com/c/ultrasound-nerve-segmentation",
    "269926": "Thank you:)",
    "270165": "Does anyone have any resources about EDA with image data sets?  I am familar with EDA for alot of structured databases, but I am not sure about what data scientists use for images.\n\nP.S.  Well other than for anonmaly detection, but I am not sure if that would be useful in this case.",
    "271116": "Thanks Ravi ..U posted the link that has got everything that i can think of :)\n\nIts Awesome"
  },
  "source": "meta"
}