{
  "id": 53094,
  "title": "Automatically generate statistical features with DL",
  "url": "/competitions/talkingdata-adtracking-fraud-detection/discussion/53094",
  "author_name": "",
  "post_date": "2018-03-27T01:17:16.060472600Z",
  "votes": 2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I’m sure a lot of us are thinking about this.  Any pointers or ideas to share, if you’re already investigating?  If not, we can always just brainstorm on the subject.</p>",
  "messages": [
    {
      "id": "304071",
      "postDate": "03/27/2018 01:17:16",
      "content": "<p>I’m sure a lot of us are thinking about this.  Any pointers or ideas to share, if you’re already investigating?  If not, we can always just brainstorm on the subject.</p>",
      "rawMarkdown": "I’m sure a lot of us are thinking about this.  Any pointers or ideas to share, if you’re already investigating?  If not, we can always just brainstorm on the subject.",
      "votes": null
    },
    {
      "id": "304514",
      "postDate": "03/27/2018 17:46:36",
      "content": "<p>One of the biggest challenges is how to inject noise into the dataset for an autoencoder. Random/Gaussian Noise doesn't work well with temporal features.</p>",
      "rawMarkdown": "One of the biggest challenges is how to inject noise into the dataset for an autoencoder. Random/Gaussian Noise doesn't work well with temporal features.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 304514,
      "author_name": "stevenknguyen",
      "author_url": "",
      "post_date": "03/27/2018 17:46:36",
      "content": "<p>One of the biggest challenges is how to inject noise into the dataset for an autoencoder. Random/Gaussian Noise doesn't work well with temporal features.</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "304071": "I’m sure a lot of us are thinking about this.  Any pointers or ideas to share, if you’re already investigating?  If not, we can always just brainstorm on the subject.",
    "304514": "One of the biggest challenges is how to inject noise into the dataset for an autoencoder. Random/Gaussian Noise doesn't work well with temporal features."
  },
  "source": "meta"
}