Hi Everyone, \nI’ve been trying to run a podcast for almost 2 months now: Chai Time Data Science, available both as video), audio (Blog post releases TBD) with 2 weekly episodes being published every week.
\n\nIt’s a continuation of my earlier blog styled series where I was lucky enough to have interviewed many great Kagglers earlier as well.
\n\nAs you might remember, to make it community driven, I requested @shaz13 and @antorsae for AMA Styled Interview about their journey and with Andres Torrubia about his 2nd position team finish on the comp.
\n\nWith the same theme, I requested @borisdee for an AMA Styled Interview about his recent gold finish in the team “4 GM and the brain” with @psilogram @tunguz @artgor @christofhenkel.\nThe recording will happen this Sunday, 22nd Sept evening (IST), I will take note of all the questions submitted here till then. Please feel free to post any/all questions here.
\n\nThe questions I’ll be asking will be around the theme:
\n\n• His ML Journey \n• Learning from first Kaggle Comp\n• Teaming up with 4 GM, discoveries and learnings in terms of on kaggle and off kaggle work (Yes, I stole @rohanrao’s talk title 😁)\n• Discussion of his current work outside Kaggle\n• Their Solution
\n\nPlease feel free to add questions related to the theme or to any topic. I'll try my best to include these in the interview which will be released as a Podcast later.
\n\nThank You!
", "messages": [ { "id": 630970, "postDate": "2019-09-21T05:03:25.207Z", "content": "Hi Everyone, \nI’ve been trying to run a podcast for almost 2 months now: Chai Time Data Science, available both as video), audio (Blog post releases TBD) with 2 weekly episodes being published every week.
\n\nIt’s a continuation of my earlier blog styled series where I was lucky enough to have interviewed many great Kagglers earlier as well.
\n\nAs you might remember, to make it community driven, I requested @shaz13 and @antorsae for AMA Styled Interview about their journey and with Andres Torrubia about his 2nd position team finish on the comp.
\n\nWith the same theme, I requested @borisdee for an AMA Styled Interview about his recent gold finish in the team “4 GM and the brain” with @psilogram @tunguz @artgor @christofhenkel.\nThe recording will happen this Sunday, 22nd Sept evening (IST), I will take note of all the questions submitted here till then. Please feel free to post any/all questions here.
\n\nThe questions I’ll be asking will be around the theme:
\n\n• His ML Journey \n• Learning from first Kaggle Comp\n• Teaming up with 4 GM, discoveries and learnings in terms of on kaggle and off kaggle work (Yes, I stole @rohanrao’s talk title 😁)\n• Discussion of his current work outside Kaggle\n• Their Solution
\n\nPlease feel free to add questions related to the theme or to any topic. I'll try my best to include these in the interview which will be released as a Podcast later.
\n\nThank You!
", "rawMarkdown": "Hi Everyone, \nI’ve been trying to run a podcast for almost 2 months now: [Chai Time Data Science](http://chaitimedatascience.com), available both as [video](https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x)), [audio](https://anchor.fm/chaitimedatascience) (Blog post releases TBD) with 2 weekly episodes being published every week. \n\nIt’s a continuation of my earlier blog styled series where I was [lucky enough to have interviewed many great Kagglers earlier as well](https://medium.com/dsnet/chai-time-data-science-show-announcement-bfaaf38df219). \n\nAs you might remember, to make it community driven, I requested @shaz13 and @antorsae for AMA Styled Interview about their journey and with Andres Torrubia about his 2nd position team finish on the comp.\n\nWith the same theme, I requested @borisdee for an AMA Styled Interview about his recent gold finish in the team “4 GM and the brain” with @psilogram @tunguz @artgor @christofhenkel.\nThe recording will happen this Sunday, 22nd Sept evening (IST), I will take note of all the questions submitted here till then. Please feel free to post any/all questions here. \n\nThe questions I’ll be asking will be around the theme:\n\n• His ML Journey \n• Learning from first Kaggle Comp\n• Teaming up with 4 GM, discoveries and learnings in terms of on kaggle and off kaggle work (Yes, I stole @rohanrao’s talk title 😁)\n• Discussion of his current work outside Kaggle\n• Their Solution\n\nPlease feel free to add questions related to the theme or to any topic. I'll try my best to include these in the interview which will be released as a Podcast later.\n\nThank You!", "votes": 10 }, { "id": 674086, "postDate": "2019-11-15T21:54:39.180Z", "content": "Nice initiative Sanyam
", "rawMarkdown": "Nice initiative Sanyam", "votes": 1 }, { "id": 657409, "postDate": "2019-10-25T05:47:45.860Z", "content": "ICYMI: \nThe interview is live in:
\n\n\n\nThe next ep releasing on Sunday will be the interview with @antorsae, so please stay tuned for that as well 😄
", "rawMarkdown": "ICYMI: \nThe interview is live in:\n\n- [video](https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x)\n- [Audio](https://anchor.fm/chaitimedatascience/episodes/Boris-Dorado-Interview--Gold-Medalling-in-First-Kaggle-Comp--Predicting-Molecular-Prop-Kaggle-Comp-Solution-e7m6s3)\n\nThe next ep releasing on Sunday will be the interview with @antorsae, so please stay tuned for that as well 😄 ", "votes": 1 }, { "id": 631121, "postDate": "2019-09-21T11:56:33.777Z", "content": "Waiting!!🙂 \nAlso, @artgor gave a talk regarding the same. https://www.youtube.com/watch?v=BXjSd3OxyDM
", "rawMarkdown": "Waiting!!🙂 \nAlso, @artgor gave a talk regarding the same. https://www.youtube.com/watch?v=BXjSd3OxyDM", "votes": 1, "replies": [ { "id": 631128, "postDate": "2019-09-21T12:12:05.693Z", "rawMarkdown": "", "isDeleted": true } ] }, { "id": 631302, "postDate": "2019-09-21T19:24:00.120Z", "content": "Cool!
", "rawMarkdown": "Cool! " }, { "id": 631129, "postDate": "2019-09-21T12:12:25.253Z", "content": "@init27 My question: \"What does your testing pipeline (procedure) look like when you are experimenting with different approaches and ideas, and how do you keep track of all your experiments and results?\"
", "rawMarkdown": "@init27 My question: \"What does your testing pipeline (procedure) look like when you are experimenting with different approaches and ideas, and how do you keep track of all your experiments and results?\"" } ], "comments": [ { "id": 674086, "author_name": "ck", "author_url": "", "post_date": "2019-11-15T21:54:39.180000", "content": "Nice initiative Sanyam
", "votes": 1, "replies": [] }, { "id": 657409, "author_name": "Sanyam Bhutani", "author_url": "", "post_date": "2019-10-25T05:47:45.860000", "content": "ICYMI: \nThe interview is live in:
\n\n\n\nThe next ep releasing on Sunday will be the interview with @antorsae, so please stay tuned for that as well 😄
", "votes": 1, "replies": [] }, { "id": 631121, "author_name": "Rohit Gupta", "author_url": "", "post_date": "2019-09-21T11:56:33.777000", "content": "Waiting!!🙂 \nAlso, @artgor gave a talk regarding the same. https://www.youtube.com/watch?v=BXjSd3OxyDM
", "votes": 1, "replies": [ { "id": 631128, "author_name": "", "author_url": "", "post_date": "2019-09-21T12:12:05.693000", "content": "", "votes": 0, "replies": [] } ] }, { "id": 631302, "author_name": "Carlo", "author_url": "", "post_date": "2019-09-21T19:24:00.120000", "content": "Cool!
", "votes": 0, "replies": [] }, { "id": 631129, "author_name": "Tarun Paparaju", "author_url": "", "post_date": "2019-09-21T12:12:25.253000", "content": "@init27 My question: \"What does your testing pipeline (procedure) look like when you are experimenting with different approaches and ideas, and how do you keep track of all your experiments and results?\"
", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "630970": "Hi Everyone, \nI’ve been trying to run a podcast for almost 2 months now: [Chai Time Data Science](http://chaitimedatascience.com), available both as [video](https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x)), [audio](https://anchor.fm/chaitimedatascience) (Blog post releases TBD) with 2 weekly episodes being published every week. \n\nIt’s a continuation of my earlier blog styled series where I was [lucky enough to have interviewed many great Kagglers earlier as well](https://medium.com/dsnet/chai-time-data-science-show-announcement-bfaaf38df219). \n\nAs you might remember, to make it community driven, I requested @shaz13 and @antorsae for AMA Styled Interview about their journey and with Andres Torrubia about his 2nd position team finish on the comp.\n\nWith the same theme, I requested @borisdee for an AMA Styled Interview about his recent gold finish in the team “4 GM and the brain” with @psilogram @tunguz @artgor @christofhenkel.\nThe recording will happen this Sunday, 22nd Sept evening (IST), I will take note of all the questions submitted here till then. Please feel free to post any/all questions here. \n\nThe questions I’ll be asking will be around the theme:\n\n• His ML Journey \n• Learning from first Kaggle Comp\n• Teaming up with 4 GM, discoveries and learnings in terms of on kaggle and off kaggle work (Yes, I stole @rohanrao’s talk title 😁)\n• Discussion of his current work outside Kaggle\n• Their Solution\n\nPlease feel free to add questions related to the theme or to any topic. I'll try my best to include these in the interview which will be released as a Podcast later.\n\nThank You!", "674086": "Nice initiative Sanyam", "657409": "ICYMI: \nThe interview is live in:\n\n- [video](https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x)\n- [Audio](https://anchor.fm/chaitimedatascience/episodes/Boris-Dorado-Interview--Gold-Medalling-in-First-Kaggle-Comp--Predicting-Molecular-Prop-Kaggle-Comp-Solution-e7m6s3)\n\nThe next ep releasing on Sunday will be the interview with @antorsae, so please stay tuned for that as well 😄 ", "631121": "Waiting!!🙂 \nAlso, @artgor gave a talk regarding the same. https://www.youtube.com/watch?v=BXjSd3OxyDM", "631302": "Cool! ", "631129": "@init27 My question: \"What does your testing pipeline (procedure) look like when you are experimenting with different approaches and ideas, and how do you keep track of all your experiments and results?\"" } }