{
  "id": 243575,
  "title": "Compete and Learn",
  "url": "/competitions/siim-covid19-detection/discussion/243575",
  "author_name": "",
  "post_date": "2021-06-03T08:20:08.678017500Z",
  "votes": null,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Hey all, I am pretty new to Computer Vision and would like to use this competition, to learn with the fun of competing. I know a little about OpenCV, deep learning etc. As a beginner the data itself is daunting. Any guidance towards how to approach this problem would be of great help. <br>\nThank you</p>",
  "messages": [
    {
      "id": "1334027",
      "postDate": "06/03/2021 08:20:08",
      "content": "<p>Hey all, I am pretty new to Computer Vision and would like to use this competition, to learn with the fun of competing. I know a little about OpenCV, deep learning etc. As a beginner the data itself is daunting. Any guidance towards how to approach this problem would be of great help. <br>\nThank you</p>",
      "rawMarkdown": "Hey all, I am pretty new to Computer Vision and would like to use this competition, to learn with the fun of competing. I know a little about OpenCV, deep learning etc. As a beginner the data itself is daunting. Any guidance towards how to approach this problem would be of great help. \nThank you",
      "votes": null
    },
    {
      "id": "1334328",
      "postDate": "06/03/2021 12:26:11",
      "content": "<p>Kaggle is best place on the planet for this kind of fun, so you will be happy. Explore the public kernels and discussions on forum. Also you have time to check previous competitions and look at the winning entries. It is very important to try to implement your kernel yourself without just copy code from someone else, this way you may be sure you understand everything. I am not a Kaggle newbie but when trying to submit first results I found multiple obstacles which I am not resolving one by one.</p>",
      "rawMarkdown": "Kaggle is best place on the planet for this kind of fun, so you will be happy. Explore the public kernels and discussions on forum. Also you have time to check previous competitions and look at the winning entries. It is very important to try to implement your kernel yourself without just copy code from someone else, this way you may be sure you understand everything. I am not a Kaggle newbie but when trying to submit first results I found multiple obstacles which I am not resolving one by one.",
      "votes": null
    },
    {
      "id": "1334334",
      "postDate": "06/03/2021 12:31:56",
      "content": "<p>Thank you <a href=\"https://www.kaggle.com/jacekpoplawski\" target=\"_blank\">@jacekpoplawski</a>. These are good advices. I will definitely check previous competitions.👍👍</p>",
      "rawMarkdown": "Thank you @jacekpoplawski. These are good advices. I will definitely check previous competitions.👍👍",
      "votes": null
    },
    {
      "id": "1334593",
      "postDate": "06/03/2021 16:01:00",
      "content": "<p>I'm kind of in the same position, though I have gone through one computer vision competition and learned a lot, definitely more for me to learn. Definitely read through all the discussions and code that seem relevant, Kaggle is full of very knowledgeable folks. Above all have fun! Good luck to you.</p>",
      "rawMarkdown": "I'm kind of in the same position, though I have gone through one computer vision competition and learned a lot, definitely more for me to learn. Definitely read through all the discussions and code that seem relevant, Kaggle is full of very knowledgeable folks. Above all have fun! Good luck to you.",
      "votes": null
    },
    {
      "id": "1334831",
      "postDate": "06/03/2021 19:54:46",
      "content": "<p>Thank you. Good luck to you too! :)</p>",
      "rawMarkdown": "Thank you. Good luck to you too! :)",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1334328,
      "author_name": "jacekpoplawski",
      "author_url": "",
      "post_date": "06/03/2021 12:26:11",
      "content": "<p>Kaggle is best place on the planet for this kind of fun, so you will be happy. Explore the public kernels and discussions on forum. Also you have time to check previous competitions and look at the winning entries. It is very important to try to implement your kernel yourself without just copy code from someone else, this way you may be sure you understand everything. I am not a Kaggle newbie but when trying to submit first results I found multiple obstacles which I am not resolving one by one.</p>",
      "votes": null,
      "replies": [
        {
          "id": 1334334,
          "author_name": "brookie210",
          "author_url": "",
          "post_date": "06/03/2021 12:31:56",
          "content": "<p>Thank you <a href=\"https://www.kaggle.com/jacekpoplawski\" target=\"_blank\">@jacekpoplawski</a>. These are good advices. I will definitely check previous competitions.👍👍</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1334593,
      "author_name": "stevelangs",
      "author_url": "",
      "post_date": "06/03/2021 16:01:00",
      "content": "<p>I'm kind of in the same position, though I have gone through one computer vision competition and learned a lot, definitely more for me to learn. Definitely read through all the discussions and code that seem relevant, Kaggle is full of very knowledgeable folks. Above all have fun! Good luck to you.</p>",
      "votes": null,
      "replies": [
        {
          "id": 1334831,
          "author_name": "brookie210",
          "author_url": "",
          "post_date": "06/03/2021 19:54:46",
          "content": "<p>Thank you. Good luck to you too! :)</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1334027": "Hey all, I am pretty new to Computer Vision and would like to use this competition, to learn with the fun of competing. I know a little about OpenCV, deep learning etc. As a beginner the data itself is daunting. Any guidance towards how to approach this problem would be of great help. \nThank you",
    "1334328": "Kaggle is best place on the planet for this kind of fun, so you will be happy. Explore the public kernels and discussions on forum. Also you have time to check previous competitions and look at the winning entries. It is very important to try to implement your kernel yourself without just copy code from someone else, this way you may be sure you understand everything. I am not a Kaggle newbie but when trying to submit first results I found multiple obstacles which I am not resolving one by one.",
    "1334334": "Thank you @jacekpoplawski. These are good advices. I will definitely check previous competitions.👍👍",
    "1334593": "I'm kind of in the same position, though I have gone through one computer vision competition and learned a lot, definitely more for me to learn. Definitely read through all the discussions and code that seem relevant, Kaggle is full of very knowledgeable folks. Above all have fun! Good luck to you.",
    "1334831": "Thank you. Good luck to you too! :)"
  },
  "source": "meta"
}