{
  "id": 371828,
  "title": "[Chai Time] Sanyam explains top solutions from the previous G2Net competition",
  "url": "/competitions/g2net-detecting-continuous-gravitational-waves/discussion/371828",
  "author_name": "CroDoc",
  "post_date": "2022-12-12T16:10:00.668000",
  "votes": 10,
  "comment_count": 1,
  "views": 0,
  "content": "<p><a href=\"https://www.kaggle.com/init27\" target=\"_blank\">@init27</a> explains top solutions from last year's competition - <a href=\"https://www.kaggle.com/competitions/g2net-gravitational-wave-detection\" target=\"_blank\">G2Net Gravitational Wave Detection</a>.</p>\n<p>This year's competition appears much harder. Maybe because it takes a long time to generate a good train dataset and it is not that easy to make a good one. But, I really like the fact that the hosts managed to make a competition where there is a big gap between top solutions (e.g. 1st and 2nd place). This means there is some magic to be found and the reward is big for those who find it. Maybe this inspires someone to find the magic :)</p>\n<p>Here is the <a href=\"https://www.youtube.com/watch?v=3qGOHxuURM8\" target=\"_blank\">YouTube link</a>.</p>",
  "messages": [
    {
      "id": 2063084,
      "postDate": "2022-12-12T16:10:00.670Z",
      "content": "<p><a href=\"https://www.kaggle.com/init27\" target=\"_blank\">@init27</a> explains top solutions from last year's competition - <a href=\"https://www.kaggle.com/competitions/g2net-gravitational-wave-detection\" target=\"_blank\">G2Net Gravitational Wave Detection</a>.</p>\n<p>This year's competition appears much harder. Maybe because it takes a long time to generate a good train dataset and it is not that easy to make a good one. But, I really like the fact that the hosts managed to make a competition where there is a big gap between top solutions (e.g. 1st and 2nd place). This means there is some magic to be found and the reward is big for those who find it. Maybe this inspires someone to find the magic :)</p>\n<p>Here is the <a href=\"https://www.youtube.com/watch?v=3qGOHxuURM8\" target=\"_blank\">YouTube link</a>.</p>",
      "rawMarkdown": "@init27 explains top solutions from last year's competition - [G2Net Gravitational Wave Detection](https://www.kaggle.com/competitions/g2net-gravitational-wave-detection).\n\nThis year's competition appears much harder. Maybe because it takes a long time to generate a good train dataset and it is not that easy to make a good one. But, I really like the fact that the hosts managed to make a competition where there is a big gap between top solutions (e.g. 1st and 2nd place). This means there is some magic to be found and the reward is big for those who find it. Maybe this inspires someone to find the magic :)\n\nHere is the [YouTube link](https://www.youtube.com/watch?v=3qGOHxuURM8).",
      "votes": 9
    },
    {
      "id": 2063125,
      "postDate": "2022-12-12T16:42:09.120Z",
      "content": "<p>Thanks again for sharing, CroDoc! 🙏</p>\n<p>Even the older competition was really challenging to grasp-usually there is a few terms here and there and you can wrap your head around older competitions but even for the older G2Net, I ended up watching Physics videos endlessly and even then I didn't know what CQT, CWT etc meant. I think this competition is slightly different as you pointed out but it's still an added challenge for the case I would believe</p>",
      "rawMarkdown": "Thanks again for sharing, CroDoc! 🙏\n\nEven the older competition was really challenging to grasp-usually there is a few terms here and there and you can wrap your head around older competitions but even for the older G2Net, I ended up watching Physics videos endlessly and even then I didn't know what CQT, CWT etc meant. I think this competition is slightly different as you pointed out but it's still an added challenge for the case I would believe",
      "votes": 2
    }
  ],
  "comments": [
    {
      "id": 2063125,
      "author_name": "Sanyam Bhutani",
      "author_url": "",
      "post_date": "2022-12-12T16:42:09.120000",
      "content": "<p>Thanks again for sharing, CroDoc! 🙏</p>\n<p>Even the older competition was really challenging to grasp-usually there is a few terms here and there and you can wrap your head around older competitions but even for the older G2Net, I ended up watching Physics videos endlessly and even then I didn't know what CQT, CWT etc meant. I think this competition is slightly different as you pointed out but it's still an added challenge for the case I would believe</p>",
      "votes": 2,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "2063084": "@init27 explains top solutions from last year's competition - [G2Net Gravitational Wave Detection](https://www.kaggle.com/competitions/g2net-gravitational-wave-detection).\n\nThis year's competition appears much harder. Maybe because it takes a long time to generate a good train dataset and it is not that easy to make a good one. But, I really like the fact that the hosts managed to make a competition where there is a big gap between top solutions (e.g. 1st and 2nd place). This means there is some magic to be found and the reward is big for those who find it. Maybe this inspires someone to find the magic :)\n\nHere is the [YouTube link](https://www.youtube.com/watch?v=3qGOHxuURM8).",
    "2063125": "Thanks again for sharing, CroDoc! 🙏\n\nEven the older competition was really challenging to grasp-usually there is a few terms here and there and you can wrap your head around older competitions but even for the older G2Net, I ended up watching Physics videos endlessly and even then I didn't know what CQT, CWT etc meant. I think this competition is slightly different as you pointed out but it's still an added challenge for the case I would believe"
  }
}