{
  "id": 424437,
  "title": "Categories on Kaggle AI Report: AP, SK and NiDS. Analytics Competition Suggestion.",
  "url": "/competitions/2023-kaggle-ai-report/discussion/424437",
  "author_name": "",
  "post_date": "2023-07-14T00:15:01.002218700Z",
  "votes": 24,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Since we remarked so many different levels of Essays, my suggestion for the next Kaggle AI Report  is to divide it not only by subjects (e.g Ethics, time series, competitions) but even based on the level of the participant too.</p>\n<p>We noticed kagglers that are starting on everything: how to include images, how to submit, how to make the code public and how to write the Peer-Feedbacks. That's the most important since our community isn't used even to make decent comments.</p>\n<p>Therefore, it's not fair to compare so distinct participants. It's quite the same to mesure Messi's (football player) with a young boy (no matter how competitive the kid is) that plays it on weekends on a courtyard. Or worst, high school children competing with PhDs.</p>\n<p>Here is my suggestion, the abbreviations of this topic title:</p>\n<ul>\n<li><p>Academic Papers (AP). No explanation required here.</p></li>\n<li><p>Skilled Kagglers (SK). Professionals that are used to present works though the Notebook isn't necessarily a Study.  How many professionals have time to make an Original Study in only 2 months?</p></li>\n<li><p>Newbies in Data Science (NiDS). Since beginner on Kaggle doesn't mean necessarily Beginner in Data Science. Many professionals \"beginners\" don't even have time to spend on Kaggle like the majority of the students that keep kaggling daily. <br>\nThose (NiDS) beginners are really beginning, on professional life and even on Kaggle too.</p></li>\n</ul>\n<p>That's my suggestion for the next Analytics Competitions cause even Kaggle team is learning with this new kind of Challenge.</p>\n<p>Best regards,<br>\nMarília Prata. </p>",
  "messages": [
    {
      "id": "2343733",
      "postDate": "07/14/2023 00:15:01",
      "content": "<p>Since we remarked so many different levels of Essays, my suggestion for the next Kaggle AI Report  is to divide it not only by subjects (e.g Ethics, time series, competitions) but even based on the level of the participant too.</p>\n<p>We noticed kagglers that are starting on everything: how to include images, how to submit, how to make the code public and how to write the Peer-Feedbacks. That's the most important since our community isn't used even to make decent comments.</p>\n<p>Therefore, it's not fair to compare so distinct participants. It's quite the same to mesure Messi's (football player) with a young boy (no matter how competitive the kid is) that plays it on weekends on a courtyard. Or worst, high school children competing with PhDs.</p>\n<p>Here is my suggestion, the abbreviations of this topic title:</p>\n<ul>\n<li><p>Academic Papers (AP). No explanation required here.</p></li>\n<li><p>Skilled Kagglers (SK). Professionals that are used to present works though the Notebook isn't necessarily a Study.  How many professionals have time to make an Original Study in only 2 months?</p></li>\n<li><p>Newbies in Data Science (NiDS). Since beginner on Kaggle doesn't mean necessarily Beginner in Data Science. Many professionals \"beginners\" don't even have time to spend on Kaggle like the majority of the students that keep kaggling daily. <br>\nThose (NiDS) beginners are really beginning, on professional life and even on Kaggle too.</p></li>\n</ul>\n<p>That's my suggestion for the next Analytics Competitions cause even Kaggle team is learning with this new kind of Challenge.</p>\n<p>Best regards,<br>\nMarília Prata. </p>",
      "rawMarkdown": "Since we remarked so many different levels of Essays, my suggestion for the next Kaggle AI Report  is to divide it not only by subjects (e.g Ethics, time series, competitions) but even based on the level of the participant too.\n\nWe noticed kagglers that are starting on everything: how to include images, how to submit, how to make the code public and how to write the Peer-Feedbacks. That's the most important since our community isn't used even to make decent comments.\n\nTherefore, it's not fair to compare so distinct participants. It's quite the same to mesure Messi's (football player) with a young boy (no matter how competitive the kid is) that plays it on weekends on a courtyard. Or worst, high school children competing with PhDs.\n\nHere is my suggestion, the abbreviations of this topic title:\n\n- Academic Papers (AP). No explanation required here.\n\n- Skilled Kagglers (SK). Professionals that are used to present works though the Notebook isn't necessarily a Study.  How many professionals have time to make an Original Study in only 2 months?\n\n- Newbies in Data Science (NiDS). Since beginner on Kaggle doesn't mean necessarily Beginner in Data Science. Many professionals \"beginners\" don't even have time to spend on Kaggle like the majority of the students that keep kaggling daily. \nThose (NiDS) beginners are really beginning, on professional life and even on Kaggle too.\n\nThat's my suggestion for the next Analytics Competitions cause even Kaggle team is learning with this new kind of Challenge.\n\nBest regards,\nMarília Prata.",
      "votes": null
    },
    {
      "id": "2346146",
      "postDate": "07/16/2023 04:21:29",
      "content": "<p>Valid Points..i think they should be taken into account by the kaggle team.</p>",
      "rawMarkdown": "Valid Points..i think they should be taken into account by the kaggle team.",
      "votes": null
    },
    {
      "id": "2346174",
      "postDate": "07/16/2023 05:19:21",
      "content": "<p>I hope so Prasad. Not only for me but mostly for the new beginners participants that made their best to present their Essays.</p>",
      "rawMarkdown": "I hope so Prasad. Not only for me but mostly for the new beginners participants that made their best to present their Essays.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2346146,
      "author_name": "mlvprasad",
      "author_url": "",
      "post_date": "07/16/2023 04:21:29",
      "content": "<p>Valid Points..i think they should be taken into account by the kaggle team.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2346174,
          "author_name": "mpwolke",
          "author_url": "",
          "post_date": "07/16/2023 05:19:21",
          "content": "<p>I hope so Prasad. Not only for me but mostly for the new beginners participants that made their best to present their Essays.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2343733": "Since we remarked so many different levels of Essays, my suggestion for the next Kaggle AI Report  is to divide it not only by subjects (e.g Ethics, time series, competitions) but even based on the level of the participant too.\n\nWe noticed kagglers that are starting on everything: how to include images, how to submit, how to make the code public and how to write the Peer-Feedbacks. That's the most important since our community isn't used even to make decent comments.\n\nTherefore, it's not fair to compare so distinct participants. It's quite the same to mesure Messi's (football player) with a young boy (no matter how competitive the kid is) that plays it on weekends on a courtyard. Or worst, high school children competing with PhDs.\n\nHere is my suggestion, the abbreviations of this topic title:\n\n- Academic Papers (AP). No explanation required here.\n\n- Skilled Kagglers (SK). Professionals that are used to present works though the Notebook isn't necessarily a Study.  How many professionals have time to make an Original Study in only 2 months?\n\n- Newbies in Data Science (NiDS). Since beginner on Kaggle doesn't mean necessarily Beginner in Data Science. Many professionals \"beginners\" don't even have time to spend on Kaggle like the majority of the students that keep kaggling daily. \nThose (NiDS) beginners are really beginning, on professional life and even on Kaggle too.\n\nThat's my suggestion for the next Analytics Competitions cause even Kaggle team is learning with this new kind of Challenge.\n\nBest regards,\nMarília Prata.",
    "2346146": "Valid Points..i think they should be taken into account by the kaggle team.",
    "2346174": "I hope so Prasad. Not only for me but mostly for the new beginners participants that made their best to present their Essays."
  },
  "source": "meta"
}