\"Machine Intelligence is the last invention that humanity will ever need to make.\"\n- Nick Bostrom
\n\nAnd isn't that the final destination - the ultimate creation to revolutionize our existence? Valued at over 4.6 billion dollars, machine learning and artificial intelligence are just the scratched surface of an untouched mound of treasure.
\n\nAaruush'20 brings to you the “Machine Learning Challenge”, a 40-hour long contest that brings the participants in touch with one of the fastest-growing industries in today's market.
\n\nThe aim of this contest is to expose young learners and aspirants to the fields of data science, machine learning and artificial intelligence. Restating its position as one of the best techno-management collegiate fests of the country, Aaruush provides a platform for the creators of tomorrow to stoke their flames of interest and innovation.
\n \nThe participants will experiment with different techniques and compete against each other to produce the best models on the given problem statements and datasets.
**Problem statement 1**
\nImage Classifier
\nParticipants have to make an image classifier. Given a dataset (split into train and test) which contains images of grocery items make an image classifier.
The data has been split into two groups:
\nThe training set should be used to build your machine learning models.
\nThe test set should be used to see how well your model performs on unseen data.
\nIt is divided into three categories
\nA sample data set is given for your reference.
", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Description", "content": "\n\"**Machine Intelligence** is the last invention that humanity will ever need to make.\" - Nick Bostrom\nAnd isn't that the final destination - the ultimate creation to revolutionize our existence? Valued at over 4.6 billion dollars, machine learning and artificial intelligence are just the scratched surface of an untouched mound of treasure.\n**Aaruush'20** brings to you the “**Machine Learning Challenge**”, a **40-hour** long contest that brings the participants in touch with one of the fastest-growing industries in today's market.\nThe aim of this contest is to expose young learners and aspirants to the fields of data science, machine learning, and artificial intelligence. Restating its position as one of the best techno-management collegiate fests of the country, Aaruush provides a platform for the creators of tomorrow to stoke their flames of interest and innovation.\nThe participants will experiment with different techniques and compete against each other to produce the best models on the given problem statements and datasets.\nThis contest not only gives the participants a splendid opportunity of experiencing the applications of Machine Learning in real-life problems but also leave with a handful of goodies and incentives.\nSo what are you waiting for? Join the ML uprising!\n\n**Problem Statement**: You have to make an image classifier. Given a dataset (split into train and test) which contains images of grocery items make an image classifier.", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Evaluation", "content": "Participants need to show metrics example fscore, precision and accuracy the whole metric thing of their model in the end.
\nWe will calculate the weighted average of your top-1 accuracy level. A proper explained code along with the deployed model and a well explained Readme . Team with maximum score wins. In case of the same score of the two or more teams, the team with higher weighted top-3 accuracy wins. \n
\nThe final model’s software code as used to generate the winning Submission and associated documentation. The delivered software code must be capable of generating the winning Submission and contain a description of resources required to build and/or run the executable code successfully;
\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "rules", "content": "**One account per participant:**\nYou cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.\n\n**No private sharing outside teams:**\nPrivately sharing code or data outside of teams is not permitted. It's okay to share code if made available to all participants on the forums.\n\n**Competition Entry:**\nNO PURCHASE NECESSARY TO ENTER OR WIN.\nTo enter the Competition, you must register on the Competition website prior to the Entry Deadline, and follow the instructions for developing and entering your Submission through the Competition Website.\n\n**Competition Period:**\nFor the purposes of Prizes, the Competition will run from the Start Date and time to the End Date and time (such duration the “Competition Period”). The Competition timeline is subject to change, and Competition Sponsor may introduce additional hurdle deadlines during the Competition Period. Any\nupdated or additional deadlines will be publicized on the Competition Website. It is your responsibility to check the Competition Website regularly to stay informed of any deadline changes.\nYOU ARE RESPONSIBLE FOR DETERMINING THE CORRESPONDING TIME ZONE IN YOUR LOCATION.\n\n**Individual Participation**\n\n**Submission Limits:**\n•\tYou may submit a maximum of 20 submissions per day.\n•\tYou may select up to 2 final submissions for judging.\n\n**Submissions:**\n•\tTo be eligible for scoring and a position on the leaderboard, your submissions to the Competition (“Submissions”) must be made during the Competition Period, and in compliance with the rules.\n•\tSubmissions may not be accepted or scored if they are in whole or part illegible, incomplete, damaged, altered, counterfeit, obtained through fraud, or late.\n•\tYour Submission must be your own, original work such that you are the sole and exclusive owner and rights holder of the Submission, and that you have the right to make the Submission and grant all required licenses.\n•\tSubmissions may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records.\n•\tIf open source code is used in the Submission, then you must only use open source code licensed under an Open Source Initiative-approved license (see www.opensource.org) that in no event limits commercial use of such code or model containing or depending on such code.\n•\tYour Submissions must be made in the manner and format, and in compliance with all other requirements, stated on the Competition Website (the \"Requirements\"). Submissions must be received before any Submission deadlines stated on the Competition Website.\n\n**Competition Data:**\n\"Competition Data\" means the data or datasets available from the Competition Website for the purpose of use in the Competition, including any prototype or executable code provided on the Competition Website. The Competition Data will contain private and public test sets. Which data belongs to which set will not be made available to participants.\nA.\t**Data Access and Use:** You may access and use the Competition Data for any purpose, whether commercial or non-commercial, including for participating in the Competition and on Kaggle.com forums, and for academic research and education. The Competition Sponsor reserves the right to disqualify any participant who uses the Competition Data other than as permitted by the Competition Website and these Rules.\nB.\t**Data Security:** You agree to use reasonable and suitable measures to prevent persons who have not formally agreed to these Rules from gaining access to the Competition Data. You agree not to transmit, duplicate, publish, redistribute or otherwise provide or make available the Competition Data to any party not participating in the Competition. You agree to notify Kaggle immediately upon learning of any possible unauthorized transmission of or unauthorized access to the Competition Data and agree to work with Kaggle to rectify any unauthorized transmission or access.\n\n**Disqualification:**\nKaggle may disqualify any participant from the competition if Kaggle reasonably believes that the participant has attempted to undermine the legitimate operation of the Competition, for example, by cheating, violating the rules, tampering with the submission process, or any other part of the competition or competition Website, other unfair practices or abuses, or threatens or harasses any other participants or Kaggle. A disqualified participant may be removed from the Competition leaderboard, at Kaggle’s sole discretion.\n\n**Please find the Terms and Conditions of the competition** [here](https://drive.google.com/file/d/1i0dxKLeI29KnyhJrz6BF5BFOKocSVwzH/view?usp=sharing)", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Time Line", "content": "**Start of the Challenge** - 09/10/2020, 8:00AM\n**End of the Challenge** - 10/10/2020, 11:59PM \n\nNOTE: The timings mentioned above are as per IST. The competition organizers reserve the right to update the contest timeline if they deem it necessary.", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Prizes And Incentives", "content": "**Winners**\n- Prizes worth up to 15k.\n- Free online courses and online internship opportunities to the winners!\n- Certificate of appreciation.\n\n**Certificate of Participation** will be provided to all the participants ", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false } ] }