Hi Everyone, \nGrand Master @shentao was kind enough to agree to my interview request about Data Science Journey & Kaggle Journey along with an AMA section as well. We'll also be talking about his recent team finish and solution on the Recursion Cellular Image Classification comp (and maybe a little about RSNA as well 😄 ).
\n\nThe episode will be released on the: Chai Time Data Science Podcast, available both as video, audio.
\n\nThe interview is yet to be scheduled but will happen next week, I'll continue collecting all questions until next weekend, please feel free to post them here.
\n\nThank You!\nPS: I've moved the post here from the Recursion comp as per the GM's suggestion
", "messages": [ { "id": 654625, "postDate": "2019-10-22T05:34:33.527Z", "content": "Hi Everyone, \nGrand Master @shentao was kind enough to agree to my interview request about Data Science Journey & Kaggle Journey along with an AMA section as well. We'll also be talking about his recent team finish and solution on the Recursion Cellular Image Classification comp (and maybe a little about RSNA as well 😄 ).
\n\nThe episode will be released on the: Chai Time Data Science Podcast, available both as video, audio.
\n\nThe interview is yet to be scheduled but will happen next week, I'll continue collecting all questions until next weekend, please feel free to post them here.
\n\nThank You!\nPS: I've moved the post here from the Recursion comp as per the GM's suggestion
", "rawMarkdown": "Hi Everyone, \nGrand Master @shentao was kind enough to agree to my interview request about Data Science Journey & Kaggle Journey along with an AMA section as well. We'll also be talking about his recent team finish and solution on the Recursion Cellular Image Classification comp (and maybe a little about RSNA 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\nThe interview is yet to be scheduled but will happen next week, I'll continue collecting all questions until next weekend, please feel free to post them here.\n\nThank You!\nPS: I've moved the post here from the Recursion comp as per the GM's suggestion", "votes": 12 }, { "id": 655177, "postDate": "2019-10-22T19:02:09.543Z", "content": "i wonder why he has no kernel contribution 😐
", "rawMarkdown": "i wonder why he has no kernel contribution 😐 ", "votes": 1, "replies": [ { "id": 655335, "postDate": "2019-10-22T23:58:44.913Z", "content": "Emm, good question. The answer is simple: I don't know how to use it 😂. And github is great for releasing the code.
", "rawMarkdown": "Emm, good question. The answer is simple: I don't know how to use it 😂. And github is great for releasing the code.", "votes": 11 }, { "id": 659640, "postDate": "2019-10-28T02:33:22.573Z", "content": "He always open source his solutions on Github : )
", "rawMarkdown": "He always open source his solutions on Github : )", "votes": 3 }, { "id": 661067, "postDate": "2019-10-29T23:28:51.257Z", "content": "Yes, please ask him all what he is doing in rsna please 😃
", "rawMarkdown": "Yes, please ask him all what he is doing in rsna please 😃 ", "votes": 1 } ] }, { "id": 654689, "postDate": "2019-10-22T07:22:50.977Z", "content": "I was eagerlyyyyyy waiting for this. Thank you doing this. Are you collecting the questions you are going to ask? If so, I would like add few things
", "rawMarkdown": "I was eagerlyyyyyy waiting for this. Thank you doing this. Are you collecting the questions you are going to ask? If so, I would like add few things", "votes": 2, "replies": [ { "id": 654692, "postDate": "2019-10-22T07:25:17.957Z", "content": "Yes, please post them in this thread.
", "rawMarkdown": "Yes, please post them in this thread." }, { "id": 654712, "postDate": "2019-10-22T07:58:12.287Z", "content": "> Background: How did you get into AI and how long have you been doing this?
\n\n\n\n\nYour team-mates call you god...why is that?
\n
> You became GradMaster in 6 months; How would you describe that?
\n\n> What would be your advice for amateurs with no prior experience in AI, who wants do well in Kaggle?
\n\n> There is something about Chinese Kagglers/GM. You and other kagglers(mostly your team-mates) like Earhian, RUA, Yelan,etc are doing amazing work. What do you think about the success of Chinese kagglers? In your opinion, what is it that separates Chinese kagglers from the rest?
\n\n> Is there something similar to Kaggle in China? What does Kaggle success mean to Chinese tech-companies?\n> Most of us join Kaggle with a goal to become GM; you have already achieved that. What's next?
\n\n> Request: Please keep opensourcing your solution codes; they have been amazing source of learning for many beginners like me. Do you plan on releasing your code for Recursion?
", "rawMarkdown": "> Background: How did you get into AI and how long have you been doing this?\n\n> Your team-mates call you god...why is that?\n\n> You became GradMaster in 6 months; How would you describe that? \n\n> What would be your advice for amateurs with no prior experience in AI, who wants do well in Kaggle? \n\n> There is something about Chinese Kagglers/GM. You and other kagglers(mostly your team-mates) like Earhian, RUA, Yelan,etc are doing amazing work. What do you think about the success of Chinese kagglers? In your opinion, what is it that separates Chinese kagglers from the rest? \n\n> Is there something similar to Kaggle in China? What does Kaggle success mean to Chinese tech-companies?\n> Most of us join Kaggle with a goal to become GM; you have already achieved that. What's next?\n\n> Request: Please keep opensourcing your solution codes; they have been amazing source of learning for many beginners like me. Do you plan on releasing your code for Recursion?\n\n\n", "votes": 4 } ] }, { "id": 654633, "postDate": "2019-10-22T05:49:14.430Z", "content": "oh
", "rawMarkdown": "oh" }, { "id": 654629, "postDate": "2019-10-22T05:37:21.647Z", "content": "Thank you Sanyam!
", "rawMarkdown": "Thank you Sanyam!", "votes": 4 } ], "comments": [ { "id": 655177, "author_name": "Md Khairul Islam", "author_url": "", "post_date": "2019-10-22T19:02:09.543000", "content": "i wonder why he has no kernel contribution 😐
", "votes": 1, "replies": [ { "id": 655335, "author_name": "SeuTao", "author_url": "", "post_date": "2019-10-22T23:58:44.913000", "content": "Emm, good question. The answer is simple: I don't know how to use it 😂. And github is great for releasing the code.
", "votes": 11, "replies": [] }, { "id": 659640, "author_name": "Yiheng Wang", "author_url": "", "post_date": "2019-10-28T02:33:22.573000", "content": "He always open source his solutions on Github : )
", "votes": 3, "replies": [] }, { "id": 661067, "author_name": "Darragh", "author_url": "", "post_date": "2019-10-29T23:28:51.257000", "content": "Yes, please ask him all what he is doing in rsna please 😃
", "votes": 1, "replies": [] } ] }, { "id": 654689, "author_name": "Bibek", "author_url": "", "post_date": "2019-10-22T07:22:50.977000", "content": "I was eagerlyyyyyy waiting for this. Thank you doing this. Are you collecting the questions you are going to ask? If so, I would like add few things
", "votes": 2, "replies": [ { "id": 654692, "author_name": "Sanyam Bhutani", "author_url": "", "post_date": "2019-10-22T07:25:17.957000", "content": "Yes, please post them in this thread.
", "votes": 0, "replies": [] }, { "id": 654712, "author_name": "Bibek", "author_url": "", "post_date": "2019-10-22T07:58:12.287000", "content": "> Background: How did you get into AI and how long have you been doing this?
\n\n\n\n\nYour team-mates call you god...why is that?
\n
> You became GradMaster in 6 months; How would you describe that?
\n\n> What would be your advice for amateurs with no prior experience in AI, who wants do well in Kaggle?
\n\n> There is something about Chinese Kagglers/GM. You and other kagglers(mostly your team-mates) like Earhian, RUA, Yelan,etc are doing amazing work. What do you think about the success of Chinese kagglers? In your opinion, what is it that separates Chinese kagglers from the rest?
\n\n> Is there something similar to Kaggle in China? What does Kaggle success mean to Chinese tech-companies?\n> Most of us join Kaggle with a goal to become GM; you have already achieved that. What's next?
\n\n> Request: Please keep opensourcing your solution codes; they have been amazing source of learning for many beginners like me. Do you plan on releasing your code for Recursion?
", "votes": 4, "replies": [] } ] }, { "id": 654633, "author_name": "Sen Yang", "author_url": "", "post_date": "2019-10-22T05:49:14.430000", "content": "oh
", "votes": 0, "replies": [] }, { "id": 654629, "author_name": "SeuTao", "author_url": "", "post_date": "2019-10-22T05:37:21.647000", "content": "Thank you Sanyam!
", "votes": 4, "replies": [] } ], "raw_markdown_by_id": { "654625": "Hi Everyone, \nGrand Master @shentao was kind enough to agree to my interview request about Data Science Journey & Kaggle Journey along with an AMA section as well. We'll also be talking about his recent team finish and solution on the Recursion Cellular Image Classification comp (and maybe a little about RSNA 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\nThe interview is yet to be scheduled but will happen next week, I'll continue collecting all questions until next weekend, please feel free to post them here.\n\nThank You!\nPS: I've moved the post here from the Recursion comp as per the GM's suggestion", "655177": "i wonder why he has no kernel contribution 😐 ", "654689": "I was eagerlyyyyyy waiting for this. Thank you doing this. Are you collecting the questions you are going to ask? If so, I would like add few things", "654633": "oh", "654629": "Thank you Sanyam!" } }