Hi fellow Kagglers,
\nThis post is not related to anything technical but a beginner's journey throughout this competition.
As yet another image competition is coming to a close I could only feel a deep gratitude towards Kaggle, the Community and the greats on Kaggle whom I look up to and learn a lot every single day. This is only my second competition on Kaggle and already I feel I have learnt a lot more than the last 10 months. I have seen latest and greatest SOTA models at work and learnt how to implement them. As a competitive environment pushes everyone to give a little extra, I always had the motivation to learn something new everyday.
\nI worked really hard in the last 1 month using the little knowledge I had and acquired knowledge from the discussions forum. Even though my hard-work was only as good as 0.969 CV, but I do not regret a single minute of it. I thoroughly enjoyed reading through the discussions and seeing numerous awesome approaches by the bests on Kaggle. And I sincerely hope I would be up-to the mark and be able to share novel approaches like them one-day.
\nI really want to thank Kaggle in general and people on this competition in particular for being so generous and accommodating. And I am really thankful to the people who answered my silly questions on the forum and those who shared awesome ideas & implementations of SOTA algorithms for beginner's like me to learn from.
\nAny beginners like me here like to share their experience? Would love to hear!
\nThanks for reading my post, and may the shake-up be with you! π
", "messages": [ { "id": "1239947", "postDate": "03/16/2021 06:37:02", "content": "Hi fellow Kagglers,
\nThis post is not related to anything technical but a beginner's journey throughout this competition.
As yet another image competition is coming to a close I could only feel a deep gratitude towards Kaggle, the Community and the greats on Kaggle whom I look up to and learn a lot every single day. This is only my second competition on Kaggle and already I feel I have learnt a lot more than the last 10 months. I have seen latest and greatest SOTA models at work and learnt how to implement them. As a competitive environment pushes everyone to give a little extra, I always had the motivation to learn something new everyday.
\nI worked really hard in the last 1 month using the little knowledge I had and acquired knowledge from the discussions forum. Even though my hard-work was only as good as 0.969 CV, but I do not regret a single minute of it. I thoroughly enjoyed reading through the discussions and seeing numerous awesome approaches by the bests on Kaggle. And I sincerely hope I would be up-to the mark and be able to share novel approaches like them one-day.
\nI really want to thank Kaggle in general and people on this competition in particular for being so generous and accommodating. And I am really thankful to the people who answered my silly questions on the forum and those who shared awesome ideas & implementations of SOTA algorithms for beginner's like me to learn from.
\nAny beginners like me here like to share their experience? Would love to hear!
\nThanks for reading my post, and may the shake-up be with you! π
", "rawMarkdown": "Hi fellow Kagglers,\n**This post is not related to anything technical but a beginner's journey throughout this competition.**\n\nAs yet another image competition is coming to a close I could only feel a deep gratitude towards Kaggle, the Community and the greats on Kaggle whom I look up to and learn a lot every single day. This is only my second competition on Kaggle and already I feel I have learnt a lot more than the last 10 months. I have seen latest and greatest SOTA models at work and learnt how to implement them. As a competitive environment pushes everyone to give a little extra, I always had the motivation to learn something new everyday.\n\nI worked really hard in the last 1 month using the little knowledge I had and acquired knowledge from the discussions forum. Even though my hard-work was only as good as 0.969 CV, but I do not regret a single minute of it. I thoroughly enjoyed reading through the discussions and seeing numerous awesome approaches by the bests on Kaggle. And I sincerely hope I would be up-to the mark and be able to share novel approaches like them one-day.\n\nI really want to thank Kaggle in general and people on this competition in particular for being so generous and accommodating. And I am really thankful to the people who answered my silly questions on the forum and those who shared awesome ideas & implementations of SOTA algorithms for beginner's like me to learn from.\n\nAny beginners like me here like to share their experience? Would love to hear!\n\n*Thanks for reading my post, and may the shake-up be with you!* π", "votes": null }, { "id": "1240648", "postDate": "03/16/2021 14:56:53", "content": "I have been a beginner for a few years and learned so much without actually ever participating in any contest. (I am starting now though) I just learned through reading posts and going through the work people share (notebooks).
\nI am also super grateful, this community is quite amazing, and even though it's a competitive environment I learn a lot by the solutions that everyone shares.
\nHopefully I'll see more of you and you of me around here! Cheers and good luck!
", "rawMarkdown": "I have been a beginner for a few years and learned so much without actually ever participating in any contest. (I am starting now though) I just learned through reading posts and going through the work people share (notebooks). \n\nI am also super grateful, this community is quite amazing, and even though it's a competitive environment I learn a lot by the solutions that everyone shares.\n\nHopefully I'll see more of you and you of me around here! Cheers and good luck!", "votes": null }, { "id": "1240905", "postDate": "03/16/2021 18:07:11", "content": "Thanks for sharing @ollibolli , much of the practical things I know today in Computer Vision can be attributed to Kaggle. I only knew the algorithm but very rarely had a hands-on of the methods. Definitely on a much smaller scale than this. That is where Kaggle and the community has been instrumental.
\nHope to see more of you in competitions and leaderboard. Don't be afraid to participate, even if you do not know much about the problem statement just get started and start reading people's discussion and notebook and try coming up with your own solutions. I assure you you will learn a lot though that journey. Rank is not important initially, the knowledge and experience matters IMO.
\nWe are all here to learn and grow! Cheers and all the best! π
Kaggle is indeed a great platform because we get to learn by doing besides just passively trying to figure out all the concepts. Also looking at other people's solutions makes for a richer experience.
", "rawMarkdown": "Kaggle is indeed a great platform because we get to learn by doing besides just passively trying to figure out all the concepts. Also looking at other people's solutions makes for a richer experience.", "votes": null }, { "id": "1241013", "postDate": "03/16/2021 20:13:28", "content": "Completely agree @enzovictor
\nThat is special indeed. But I personally, generally refrain from looking at other's code (before the competition ends) until and unless either I am completely lost or I want to burrow an efficient implementation of some idea I already have. Discussion forum is actually a lot better to seek and find ideas and approaches as not all ideas eventually make it into shared code, but that doesn't mean they are bad ideas. It might as well be better that some ideas we see in shared Kernels.
\nCheers and happy Kaggling! π
You're right Manav, what really matters at the end of the day/journey is what you've learnt. Rankings are almost like \"skywriting\", a single breeze can change them all and very few will remember that. (except money zoneπ).
\nThe knowledge that you gain, no one can take it from you.
@manabendrarout Thanks for sharing your journey Manav . I am sure it will motivate lot of beginners to get started . Keep working hard and wishing the very best for all your future kaggling endeavours
", "rawMarkdown": "manabendrarout Thanks for sharing your journey Manav . I am sure it will motivate lot of beginners to get started . Keep working hard and wishing the very best for all your future kaggling endeavours", "votes": null }, { "id": "1241884", "postDate": "03/17/2021 09:01:45", "content": "Thanks a lot @usharengaraju for your kind words. And especially thank you for sharing great resources in the discussion forum as well.
", "rawMarkdown": "Thanks a lot @usharengaraju for your kind words. And especially thank you for sharing great resources in the discussion forum as well.", "votes": null }, { "id": "1242020", "postDate": "03/17/2021 10:51:54", "content": "Thank you for the post @manabendrarout. It really motivates, keep rocking π
", "rawMarkdown": "Thank you for the post @manabendrarout. It really motivates, keep rocking π", "votes": null } ], "comments": [ { "id": 1240648, "author_name": "ollibolli", "author_url": "", "post_date": "03/16/2021 14:56:53", "content": "I have been a beginner for a few years and learned so much without actually ever participating in any contest. (I am starting now though) I just learned through reading posts and going through the work people share (notebooks).
\nI am also super grateful, this community is quite amazing, and even though it's a competitive environment I learn a lot by the solutions that everyone shares.
\nHopefully I'll see more of you and you of me around here! Cheers and good luck!
", "votes": null, "replies": [ { "id": 1240905, "author_name": "manabendrarout", "author_url": "", "post_date": "03/16/2021 18:07:11", "content": "Thanks for sharing @ollibolli , much of the practical things I know today in Computer Vision can be attributed to Kaggle. I only knew the algorithm but very rarely had a hands-on of the methods. Definitely on a much smaller scale than this. That is where Kaggle and the community has been instrumental.
\nHope to see more of you in competitions and leaderboard. Don't be afraid to participate, even if you do not know much about the problem statement just get started and start reading people's discussion and notebook and try coming up with your own solutions. I assure you you will learn a lot though that journey. Rank is not important initially, the knowledge and experience matters IMO.
\nWe are all here to learn and grow! Cheers and all the best! π
Kaggle is indeed a great platform because we get to learn by doing besides just passively trying to figure out all the concepts. Also looking at other people's solutions makes for a richer experience.
", "votes": null, "replies": [ { "id": 1241013, "author_name": "manabendrarout", "author_url": "", "post_date": "03/16/2021 20:13:28", "content": "Completely agree @enzovictor
\nThat is special indeed. But I personally, generally refrain from looking at other's code (before the competition ends) until and unless either I am completely lost or I want to burrow an efficient implementation of some idea I already have. Discussion forum is actually a lot better to seek and find ideas and approaches as not all ideas eventually make it into shared code, but that doesn't mean they are bad ideas. It might as well be better that some ideas we see in shared Kernels.
\nCheers and happy Kaggling! π
You're right Manav, what really matters at the end of the day/journey is what you've learnt. Rankings are almost like \"skywriting\", a single breeze can change them all and very few will remember that. (except money zoneπ).
\nThe knowledge that you gain, no one can take it from you.
@manabendrarout Thanks for sharing your journey Manav . I am sure it will motivate lot of beginners to get started . Keep working hard and wishing the very best for all your future kaggling endeavours
", "votes": null, "replies": [ { "id": 1241884, "author_name": "manabendrarout", "author_url": "", "post_date": "03/17/2021 09:01:45", "content": "Thanks a lot @usharengaraju for your kind words. And especially thank you for sharing great resources in the discussion forum as well.
", "votes": null, "replies": [] } ] }, { "id": 1242020, "author_name": "thrineshduvvuru", "author_url": "", "post_date": "03/17/2021 10:51:54", "content": "Thank you for the post @manabendrarout. It really motivates, keep rocking π
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1239947": "Hi fellow Kagglers,\n**This post is not related to anything technical but a beginner's journey throughout this competition.**\n\nAs yet another image competition is coming to a close I could only feel a deep gratitude towards Kaggle, the Community and the greats on Kaggle whom I look up to and learn a lot every single day. This is only my second competition on Kaggle and already I feel I have learnt a lot more than the last 10 months. I have seen latest and greatest SOTA models at work and learnt how to implement them. As a competitive environment pushes everyone to give a little extra, I always had the motivation to learn something new everyday.\n\nI worked really hard in the last 1 month using the little knowledge I had and acquired knowledge from the discussions forum. Even though my hard-work was only as good as 0.969 CV, but I do not regret a single minute of it. I thoroughly enjoyed reading through the discussions and seeing numerous awesome approaches by the bests on Kaggle. And I sincerely hope I would be up-to the mark and be able to share novel approaches like them one-day.\n\nI really want to thank Kaggle in general and people on this competition in particular for being so generous and accommodating. And I am really thankful to the people who answered my silly questions on the forum and those who shared awesome ideas & implementations of SOTA algorithms for beginner's like me to learn from.\n\nAny beginners like me here like to share their experience? Would love to hear!\n\n*Thanks for reading my post, and may the shake-up be with you!* π", "1240648": "I have been a beginner for a few years and learned so much without actually ever participating in any contest. (I am starting now though) I just learned through reading posts and going through the work people share (notebooks). \n\nI am also super grateful, this community is quite amazing, and even though it's a competitive environment I learn a lot by the solutions that everyone shares.\n\nHopefully I'll see more of you and you of me around here! Cheers and good luck!", "1240905": "Thanks for sharing @ollibolli , much of the practical things I know today in Computer Vision can be attributed to Kaggle. I only knew the algorithm but very rarely had a hands-on of the methods. Definitely on a much smaller scale than this. That is where Kaggle and the community has been instrumental.\nHope to see more of you in competitions and leaderboard. Don't be afraid to participate, even if you do not know much about the problem statement just get started and start reading people's discussion and notebook and try coming up with your own solutions. I assure you you will learn a lot though that journey. **Rank is not important *initially*, the knowledge and experience matters IMO**.\nWe are all here to learn and grow! Cheers and all the best! π", "1241009": "Kaggle is indeed a great platform because we get to learn by doing besides just passively trying to figure out all the concepts. Also looking at other people's solutions makes for a richer experience.", "1241013": "Completely agree @enzovictor \nThat is special indeed. But I personally, generally refrain from looking at other's code (before the competition ends) until and unless either I am completely lost or I want to burrow an efficient implementation of some idea I already have. Discussion forum is actually a lot better to seek and find ideas and approaches as not all ideas eventually make it into shared code, but that doesn't mean they are bad ideas. It might as well be better that some ideas we see in shared Kernels.\n*Cheers and happy Kaggling!* π", "1241129": "You're right Manav, what really matters at the end of the day/journey is what you've learnt. Rankings are almost like \"skywriting\", a single breeze can change them all and very few will remember that. (except money zoneπ).\nThe knowledge that you gain, no one can take it from you.", "1241358": "manabendrarout Thanks for sharing your journey Manav . I am sure it will motivate lot of beginners to get started . Keep working hard and wishing the very best for all your future kaggling endeavours", "1241884": "Thanks a lot @usharengaraju for your kind words. And especially thank you for sharing great resources in the discussion forum as well.", "1242020": "Thank you for the post @manabendrarout. It really motivates, keep rocking π" }, "source": "meta" }