{
  "id": 18560,
  "title": "Recommended papers to read?",
  "url": "/competitions/second-annual-data-science-bowl/discussion/18560",
  "author_name": "I Love Solder",
  "post_date": "2016-01-25T19:12:03.760000",
  "votes": 0,
  "comment_count": 1,
  "views": 702,
  "content": "<p>Hey guys! </p>\n\n<p>So I'm trying to use this competition as a learning experience. I have followed through the deep learning tutorial for this competition, and played around with AWS. I read through the modules here <a href=\"http://cs231n.github.io/\">http://cs231n.github.io/</a> and I think I have a basic understanding of CNN.</p>\n\n<p>Now I'm looking to go further, both in this competition and in ML in general. Are there any recommended papers on MRI image processing, or other libraries/tools (ex, AWS) I should play around with? So far I have used Pandas, Scikit Learn, Caffe, Theano, Lasagne, Nolearn, . </p>",
  "messages": [
    {
      "id": 105671,
      "postDate": "2016-01-25T19:12:03.760Z",
      "content": "<p>Hey guys! </p>\n\n<p>So I'm trying to use this competition as a learning experience. I have followed through the deep learning tutorial for this competition, and played around with AWS. I read through the modules here <a href=\"http://cs231n.github.io/\">http://cs231n.github.io/</a> and I think I have a basic understanding of CNN.</p>\n\n<p>Now I'm looking to go further, both in this competition and in ML in general. Are there any recommended papers on MRI image processing, or other libraries/tools (ex, AWS) I should play around with? So far I have used Pandas, Scikit Learn, Caffe, Theano, Lasagne, Nolearn, . </p>",
      "rawMarkdown": "Hey guys! \r\n\r\nSo I'm trying to use this competition as a learning experience. I have followed through the deep learning tutorial for this competition, and played around with AWS. I read through the modules here http://cs231n.github.io/ and I think I have a basic understanding of CNN.\r\n\r\nNow I'm looking to go further, both in this competition and in ML in general. Are there any recommended papers on MRI image processing, or other libraries/tools (ex, AWS) I should play around with? So far I have used Pandas, Scikit Learn, Caffe, Theano, Lasagne, Nolearn, . \r\n\r\n"
    },
    {
      "id": 106497,
      "postDate": "2016-02-01T12:08:52.713Z",
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  "comments": [
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      "id": 106497,
      "author_name": "",
      "author_url": "",
      "post_date": "2016-02-01T12:08:52.713000",
      "content": "",
      "votes": 0,
      "replies": []
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  "raw_markdown_by_id": {
    "105671": "Hey guys! \r\n\r\nSo I'm trying to use this competition as a learning experience. I have followed through the deep learning tutorial for this competition, and played around with AWS. I read through the modules here http://cs231n.github.io/ and I think I have a basic understanding of CNN.\r\n\r\nNow I'm looking to go further, both in this competition and in ML in general. Are there any recommended papers on MRI image processing, or other libraries/tools (ex, AWS) I should play around with? So far I have used Pandas, Scikit Learn, Caffe, Theano, Lasagne, Nolearn, . \r\n\r\n",
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