{
  "id": 467552,
  "title": "EEG-Based Machine Learning Theory",
  "url": "/competitions/hms-harmful-brain-activity-classification/discussion/467552",
  "author_name": "Corey Lehmann",
  "post_date": "2024-01-13T00:20:22.501000",
  "votes": 26,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I found this paper incredibly useful for getting started:<br>\n<a href=\"https://www.nzbri.org/resources/publications/657/Shoorangiz__2021.pdf\" target=\"_blank\">EEG-Based Machine Learning Theory</a><br>\nIt explains some standard features to be extracted from the EEG data.<br>\nShare some other links below!</p>",
  "messages": [
    {
      "id": 2599566,
      "postDate": "2024-01-13T00:20:22.500Z",
      "content": "<p>I found this paper incredibly useful for getting started:<br>\n<a href=\"https://www.nzbri.org/resources/publications/657/Shoorangiz__2021.pdf\" target=\"_blank\">EEG-Based Machine Learning Theory</a><br>\nIt explains some standard features to be extracted from the EEG data.<br>\nShare some other links below!</p>",
      "rawMarkdown": "I found this paper incredibly useful for getting started:\n[EEG-Based Machine Learning Theory](https://www.nzbri.org/resources/publications/657/Shoorangiz__2021.pdf)\nIt explains some standard features to be extracted from the EEG data.\nShare some other links below!",
      "votes": 26
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2599566": "I found this paper incredibly useful for getting started:\n[EEG-Based Machine Learning Theory](https://www.nzbri.org/resources/publications/657/Shoorangiz__2021.pdf)\nIt explains some standard features to be extracted from the EEG data.\nShare some other links below!"
  }
}