{
  "id": 112986,
  "title": "Remember TalkingData",
  "url": "/competitions/ashrae-energy-prediction/discussion/112986",
  "author_name": "Yutaka Sawai",
  "post_date": "2019-10-16T11:30:19.592000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I remember TalkingData Competition.</p>\n\n<p>This @yuliagm 's Kernel may be useful for this Competition.\n<a href=\"https://www.kaggle.com/yuliagm/how-to-work-with-big-datasets-on-16g-ram-dask\">How to Work with BIG Datasets on 16G RAM (+Dask)</a></p>\n\n<p>Thanks.</p>",
  "messages": [
    {
      "id": 650430,
      "postDate": "2019-10-16T11:30:19.593Z",
      "content": "<p>I remember TalkingData Competition.</p>\n\n<p>This @yuliagm 's Kernel may be useful for this Competition.\n<a href=\"https://www.kaggle.com/yuliagm/how-to-work-with-big-datasets-on-16g-ram-dask\">How to Work with BIG Datasets on 16G RAM (+Dask)</a></p>\n\n<p>Thanks.</p>",
      "rawMarkdown": "I remember TalkingData Competition.\n\nThis @yuliagm 's Kernel may be useful for this Competition.\n[How to Work with BIG Datasets on 16G RAM (+Dask)](https://www.kaggle.com/yuliagm/how-to-work-with-big-datasets-on-16g-ram-dask)\n\nThanks."
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "650430": "I remember TalkingData Competition.\n\nThis @yuliagm 's Kernel may be useful for this Competition.\n[How to Work with BIG Datasets on 16G RAM (+Dask)](https://www.kaggle.com/yuliagm/how-to-work-with-big-datasets-on-16g-ram-dask)\n\nThanks."
  }
}