{
  "id": 110460,
  "title": "AMA Interview with Dmitry Larko | Chai Time Data Science Podcast",
  "url": "/competitions/recursion-cellular-image-classification/discussion/110460",
  "author_name": "",
  "post_date": "2019-09-28T02:55:10.064716500Z",
  "votes": 9,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Hi Everyone, \nAs the title mentions, I reached out to Grand Master <a href=\"/dmitrylarko\">@dmitrylarko</a> requesting an interview about his Kaggle, Data Science journey and his team's <a href=\"https://www.kaggle.com/c/recursion-cellular-image-classification/discussion/110434#latest-635594\">8th place solution</a> and he was kind enough to agree to an AMA interview as well. </p>\n\n<p>The episode will be released on the: <a href=\"http://chaitimedatascience.com\">Chai Time Data Science Podcast</a>, available both as <a href=\"https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x\">video</a>, <a href=\"https://anchor.fm/chaitimedatascience\">audio</a>.</p>\n\n<p>I'll also try to release it as a blog post (It might take a while since editing and post-processing is still challenging to me. Basically anything that involves heavy GPU usage is 😁), <a href=\"https://medium.com/dsnet/chai-time-data-science-show-announcement-bfaaf38df219\">meanwhile you should be able to find 25 blog styled interviews with \"ML Heroes\"</a> (if you prefer reading posts). </p>\n\n<p>The interview will happen next week, until then please feel free to post all your questions in this thread. I'll post a deadline reminder once we finalize the date &amp; time for the call. Until then, I'll collect all questions from here. </p>\n\n<p>Thank You!</p>",
  "messages": [
    {
      "id": "635680",
      "postDate": "09/28/2019 02:55:10",
      "content": "<p>Hi Everyone, \nAs the title mentions, I reached out to Grand Master <a href=\"/dmitrylarko\">@dmitrylarko</a> requesting an interview about his Kaggle, Data Science journey and his team's <a href=\"https://www.kaggle.com/c/recursion-cellular-image-classification/discussion/110434#latest-635594\">8th place solution</a> and he was kind enough to agree to an AMA interview as well. </p>\n\n<p>The episode will be released on the: <a href=\"http://chaitimedatascience.com\">Chai Time Data Science Podcast</a>, available both as <a href=\"https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x\">video</a>, <a href=\"https://anchor.fm/chaitimedatascience\">audio</a>.</p>\n\n<p>I'll also try to release it as a blog post (It might take a while since editing and post-processing is still challenging to me. Basically anything that involves heavy GPU usage is 😁), <a href=\"https://medium.com/dsnet/chai-time-data-science-show-announcement-bfaaf38df219\">meanwhile you should be able to find 25 blog styled interviews with \"ML Heroes\"</a> (if you prefer reading posts). </p>\n\n<p>The interview will happen next week, until then please feel free to post all your questions in this thread. I'll post a deadline reminder once we finalize the date &amp; time for the call. Until then, I'll collect all questions from here. </p>\n\n<p>Thank You!</p>",
      "rawMarkdown": "Hi Everyone, \nAs the title mentions, I reached out to Grand Master @dmitrylarko requesting an interview about his Kaggle, Data Science journey and his team's [8th place solution](https://www.kaggle.com/c/recursion-cellular-image-classification/discussion/110434#latest-635594) and he was kind enough to agree to an AMA interview as well. \n\nThe episode will be released on the: [Chai Time Data Science Podcast](http://chaitimedatascience.com), available both as [video](https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x), [audio](https://anchor.fm/chaitimedatascience).\n\nI'll also try to release it as a blog post (It might take a while since editing and post-processing is still challenging to me. Basically anything that involves heavy GPU usage is 😁), [meanwhile you should be able to find 25 blog styled interviews with \"ML Heroes\"](https://medium.com/dsnet/chai-time-data-science-show-announcement-bfaaf38df219) (if you prefer reading posts). \n\nThe interview will happen next week, until then please feel free to post all your questions in this thread. I'll post a deadline reminder once we finalize the date &amp; time for the call. Until then, I'll collect all questions from here. \n\nThank You!",
      "votes": null
    },
    {
      "id": "635792",
      "postDate": "09/28/2019 08:03:45",
      "content": "<p>How did you learn to achieve such level in kaggle competitions/ how do you approach a problem?</p>",
      "rawMarkdown": "How did you learn to achieve such level in kaggle competitions/ how do you approach a problem?",
      "votes": null
    },
    {
      "id": "635799",
      "postDate": "09/28/2019 08:21:01",
      "content": "<p>What are the basics to understood well doing Deep learning and can Someone be Versatile being a Data Scientists</p>",
      "rawMarkdown": "What are the basics to understood well doing Deep learning and can Someone be Versatile being a Data Scientists",
      "votes": null
    },
    {
      "id": "637592",
      "postDate": "10/01/2019 06:30:57",
      "content": "<p>Hello Sanyam, watching your Chai Time Data Science Videos and learning from it.As I have done some course on Machine Learning which competitions should i begin with in kaggle. Please consider some real world competiton and which are relevant for the beginners?</p>",
      "rawMarkdown": "Hello Sanyam, watching your Chai Time Data Science Videos and learning from it.As I have done some course on Machine Learning which competitions should i begin with in kaggle. Please consider some real world competiton and which are relevant for the beginners?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 635792,
      "author_name": "editit",
      "author_url": "",
      "post_date": "09/28/2019 08:03:45",
      "content": "<p>How did you learn to achieve such level in kaggle competitions/ how do you approach a problem?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 635799,
      "author_name": "nasere",
      "author_url": "",
      "post_date": "09/28/2019 08:21:01",
      "content": "<p>What are the basics to understood well doing Deep learning and can Someone be Versatile being a Data Scientists</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 637592,
      "author_name": "chetankhaire15",
      "author_url": "",
      "post_date": "10/01/2019 06:30:57",
      "content": "<p>Hello Sanyam, watching your Chai Time Data Science Videos and learning from it.As I have done some course on Machine Learning which competitions should i begin with in kaggle. Please consider some real world competiton and which are relevant for the beginners?</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "635680": "Hi Everyone, \nAs the title mentions, I reached out to Grand Master @dmitrylarko requesting an interview about his Kaggle, Data Science journey and his team's [8th place solution](https://www.kaggle.com/c/recursion-cellular-image-classification/discussion/110434#latest-635594) and he was kind enough to agree to an AMA interview as well. \n\nThe episode will be released on the: [Chai Time Data Science Podcast](http://chaitimedatascience.com), available both as [video](https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x), [audio](https://anchor.fm/chaitimedatascience).\n\nI'll also try to release it as a blog post (It might take a while since editing and post-processing is still challenging to me. Basically anything that involves heavy GPU usage is 😁), [meanwhile you should be able to find 25 blog styled interviews with \"ML Heroes\"](https://medium.com/dsnet/chai-time-data-science-show-announcement-bfaaf38df219) (if you prefer reading posts). \n\nThe interview will happen next week, until then please feel free to post all your questions in this thread. I'll post a deadline reminder once we finalize the date &amp; time for the call. Until then, I'll collect all questions from here. \n\nThank You!",
    "635792": "How did you learn to achieve such level in kaggle competitions/ how do you approach a problem?",
    "635799": "What are the basics to understood well doing Deep learning and can Someone be Versatile being a Data Scientists",
    "637592": "Hello Sanyam, watching your Chai Time Data Science Videos and learning from it.As I have done some course on Machine Learning which competitions should i begin with in kaggle. Please consider some real world competiton and which are relevant for the beginners?"
  },
  "source": "meta"
}