Hello! First of all, I am extremely sorry for coming up with so many doubts but I am quite confused regarding the category in which the submission would fall.
\nIn general say, for instance somebody is writing about how AI is revolutionizing Stock Markets & Finance industry and they decide to elaborate their article by including a section of kaggle competitions that have been hosted around the same topic. So, would it come in \"other\" category or since they are including the Kaggle competitions in their article it would be put into the category of Kaggle Competitions.
\nNote: It's just one section of their article and not their entire article.
\nThank you in advance! :)
Kaggle has provided a collection of writeups and a collection of scholarly articles in the official competition dataset, and we recommend referencing these resources, or similar resources, no matter what category you select.
\nUltimately the goal is to respond to one of the 7x prompts in a way that will score highest against the evaluation rubric, and the prompt begins with \"what the ML community has learned over the past 2 years of working with…\", which is a fairly broad mandate.
\nAn essay that comprehensively summarizes the recent advancements in a given area will likely score higher than an essay that has a comparatively narrow focus. Judging from the title of your essay, it sounds like you are not attempting to give a comprehensive overview of the advancements that have occurred in working with time-series data, and you are not attempting to give a comprehensive overview of what we have learned about Kaggle competitions, but rather you are focusing on the advancements that have occurred within one specific sub-field only. As such, the \"other\" category is likely going to be the most relevant category.
\nHere is an old draft that had a bit more detail concerning our recommendations on how to categorize your essays:
\nIn this analytics competition, participants will an essay one following seven topics, a prompt describe what ML community has learned past years working experimenting :\n\n - Text data\n - Image / video data\n - Tabular / series data\n - Kaggle Competitions\n - Generative AI\n - AI ethics\n - Other (anything fall any other category)\n\n[] This section (competitions) meant overall impact Kaggle's competitions broader ML community. Did ML community benefit these competitions? Did these competitions drive forward any important advancements field ML? \n\n[] This section (ethics) meant discussion AI ethics well discussion tools approaches can be used monitoring, understanding, mitigating risk high-risk ML applications.\n\n[] This section (other) meant review anything fit any other categories e.g. simulations, robotics, multi-modal models, -device ML, ML hardware, field-specific essays discuss multiple categories, etc.\nSee similar thread here and here.
\nHopefully that helps!
", "rawMarkdown": "Kaggle has provided a collection of [writeups](https://www.kaggle.com/code/paultimothymooney/every-kaggle-competition-solution-writeup-to-csv/output) and a collection of [scholarly articles](https://www.kaggle.com/datasets/Cornell-University/arxiv) in the official competition dataset, and we recommend referencing these resources, or similar resources, no matter what category you select.\n\nUltimately the goal is to respond to one of the [7x prompts](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/description) in a way that will score highest against the [evaluation rubric](https://www.kaggle.com/competitions/2023-kaggle-ai-report/overview/evaluation), and the prompt begins with \"what the ML community has learned over the past 2 years of working with...\", which is a fairly broad mandate. \n\nAn essay that comprehensively summarizes the recent advancements in a given area will likely score higher than an essay that has a comparatively narrow focus. Judging from the title of your essay, it sounds like you are not attempting to give a comprehensive overview of the advancements that have occurred in working with time-series data, and you are not attempting to give a comprehensive overview of what we have learned about Kaggle competitions, but rather you are focusing on the advancements that have occurred within one specific sub-field only. As such, the \"other\" category is likely going to be the most relevant category.\n\n\nHere is an old draft that had a bit more detail concerning our recommendations on how to categorize your essays:\n\n```\nIn this analytics competition, participants will write an essay on one of the following seven topics, with a prompt to describe what the ML community has learned over the past 2 years of working and experimenting with:\n\n - Text data\n - Image and/or video data\n - Tabular and/or time series data\n - Kaggle Competitions\n - Generative AI\n - AI ethics\n - Other (anything that does not fall into any other category)\n\n[1] This section (competitions) is meant to summarize the overall impact of Kaggle's competitions on the broader ML community. Did the ML community benefit from these competitions? Did these competitions drive forward any important advancements in the field of ML? \n\n[2] This section (ethics) is meant to contain discussion of AI ethics as well as discussion of tools and approaches that can be used for monitoring, understanding, and mitigating risk in high-risk ML applications.\n\n[3] This section (other) is meant to review anything that does not fit into any of the other categories e.g. simulations, robotics, multi-modal models, on-device ML, ML hardware, field-specific essays that discuss multiple categories, etc.\n```\n\nSee similar thread [here](https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/409958#2260292) and [here](https://www.kaggle.com/competitions/2023-kaggle-ai-report/discussion/411726#2269578).\n\nHopefully that helps!", "votes": 3, "replies": [ { "id": 2323120, "postDate": "2023-06-29T17:18:24.033Z", "content": "Thank you for your detailed response. It gave me alot of clarity of what's expected. Much appreciated! :)
", "rawMarkdown": "Thank you for your detailed response. It gave me alot of clarity of what's expected. Much appreciated! :)", "votes": 1 }, { "id": 2323211, "postDate": "2023-06-29T18:37:47.660Z", "content": "We are writing an essay on \"Generative AI\", which includes both the applications (UI) and the underlying innovations (algorithms) they have. Actually we were aiming it to be very comprehensive. As we understood, since it involves technical aspects, it should be categorized under either \"image\" or \"text\". But the generative AI covers both of these categories, so we are giving examples from both of them. In this case, would it be okay to choose the \"Generative AI\" category? Or should we drop all the technical parts?
", "rawMarkdown": "We are writing an essay on \"Generative AI\", which includes both the applications (UI) and the underlying innovations (algorithms) they have. Actually we were aiming it to be very comprehensive. As we understood, since it involves technical aspects, it should be categorized under either \"image\" or \"text\". But the generative AI covers both of these categories, so we are giving examples from both of them. In this case, would it be okay to choose the \"Generative AI\" category? Or should we drop all the technical parts?", "replies": [ { "id": 2323222, "postDate": "2023-06-29T18:52:34.323Z", "content": "If you are discussing both generative image algorithms and generative text algorithms, then I think the best category would indeed be \"generative AI\".
", "rawMarkdown": "If you are discussing both generative image algorithms and generative text algorithms, then I think the best category would indeed be \"generative AI\". ", "votes": 2 }, { "id": 2323224, "postDate": "2023-06-29T18:54:34.543Z", "content": "Thanks for the fast reply!
", "rawMarkdown": "Thanks for the fast reply!" } ] } ] }, { "id": 2320122, "postDate": "2023-06-27T13:57:54.403Z", "content": "Hello! First of all, I am extremely sorry for coming up with so many doubts but I am quite confused regarding the category in which the submission would fall.
\nIn general say, for instance somebody is writing about how AI is revolutionizing Stock Markets & Finance industry and they decide to elaborate their article by including a section of kaggle competitions that have been hosted around the same topic. So, would it come in \"other\" category or since they are including the Kaggle competitions in their article it would be put into the category of Kaggle Competitions.
\nNote: It's just one section of their article and not their entire article.
\nThank you in advance! :)
We all have ChatGPT. 😂
\nGiving voice to your own opinions would lead you really far I am sure. Please don't rely on ChatGPT for discussions! Best Wishes :)
Kaggle has provided a collection of writeups and a collection of scholarly articles in the official competition dataset, and we recommend referencing these resources, or similar resources, no matter what category you select.
\nUltimately the goal is to respond to one of the 7x prompts in a way that will score highest against the evaluation rubric, and the prompt begins with \"what the ML community has learned over the past 2 years of working with…\", which is a fairly broad mandate.
\nAn essay that comprehensively summarizes the recent advancements in a given area will likely score higher than an essay that has a comparatively narrow focus. Judging from the title of your essay, it sounds like you are not attempting to give a comprehensive overview of the advancements that have occurred in working with time-series data, and you are not attempting to give a comprehensive overview of what we have learned about Kaggle competitions, but rather you are focusing on the advancements that have occurred within one specific sub-field only. As such, the \"other\" category is likely going to be the most relevant category.
\nHere is an old draft that had a bit more detail concerning our recommendations on how to categorize your essays:
\nIn this analytics competition, participants will an essay one following seven topics, a prompt describe what ML community has learned past years working experimenting :\n\n - Text data\n - Image / video data\n - Tabular / series data\n - Kaggle Competitions\n - Generative AI\n - AI ethics\n - Other (anything fall any other category)\n\n[] This section (competitions) meant overall impact Kaggle's competitions broader ML community. Did ML community benefit these competitions? Did these competitions drive forward any important advancements field ML? \n\n[] This section (ethics) meant discussion AI ethics well discussion tools approaches can be used monitoring, understanding, mitigating risk high-risk ML applications.\n\n[] This section (other) meant review anything fit any other categories e.g. simulations, robotics, multi-modal models, -device ML, ML hardware, field-specific essays discuss multiple categories, etc.\nSee similar thread here and here.
\nHopefully that helps!
", "votes": 3, "replies": [ { "id": 2323120, "author_name": "AC", "author_url": "", "post_date": "2023-06-29T17:18:24.033000", "content": "Thank you for your detailed response. It gave me alot of clarity of what's expected. Much appreciated! :)
", "votes": 1, "replies": [] }, { "id": 2323211, "author_name": "Anil Ozturk", "author_url": "", "post_date": "2023-06-29T18:37:47.660000", "content": "We are writing an essay on \"Generative AI\", which includes both the applications (UI) and the underlying innovations (algorithms) they have. Actually we were aiming it to be very comprehensive. As we understood, since it involves technical aspects, it should be categorized under either \"image\" or \"text\". But the generative AI covers both of these categories, so we are giving examples from both of them. In this case, would it be okay to choose the \"Generative AI\" category? Or should we drop all the technical parts?
", "votes": 0, "replies": [ { "id": 2323222, "author_name": "Paul Mooney", "author_url": "", "post_date": "2023-06-29T18:52:34.323000", "content": "If you are discussing both generative image algorithms and generative text algorithms, then I think the best category would indeed be \"generative AI\".
", "votes": 2, "replies": [] }, { "id": 2323224, "author_name": "Anil Ozturk", "author_url": "", "post_date": "2023-06-29T18:54:34.543000", "content": "Thanks for the fast reply!
", "votes": 0, "replies": [] } ] } ] }, { "id": 2323575, "author_name": "", "author_url": "", "post_date": "2023-06-30T03:50:14.623000", "content": "", "votes": 0, "replies": [ { "id": 2323591, "author_name": "AC", "author_url": "", "post_date": "2023-06-30T04:08:04.227000", "content": "We all have ChatGPT. 😂
\nGiving voice to your own opinions would lead you really far I am sure. Please don't rely on ChatGPT for discussions! Best Wishes :)