Writing 'Digit recognizer' and 'MNIST' in your resume is cliché. Instead, try these:
\nThanks
", "messages": [ { "id": 1386860, "postDate": "2021-07-13T18:32:59.433Z", "content": "Writing 'Digit recognizer' and 'MNIST' in your resume is cliché. Instead, try these:
\nThanks
", "rawMarkdown": "# The aim of showcasing a project in your resume is to tell how can you use what you know to drive benefit. Choose your words wisely.\n\nWriting 'Digit recognizer' and 'MNIST' in your resume is cliché. Instead, try these:\n\n1. Bank cheque/invoices/documents processing using OCR (quantify the impact in terms of man hours having)\n2. Document verification system ( OCR and ID verification)\n3. Examination grading by digitization MCQ only)\n4. Scientific notes digitizer\n5. License-plate reading\n\n\nThanks", "votes": 14 }, { "id": 1465929, "postDate": "2021-08-11T08:30:39.700Z", "content": "Such a good hint to make a more interesting CV. But when I worked on Invoices and License-plate reading projects, I've had nothing to do with \"Digit Recognizer\" and \"MNIST\".
\nThat is the reason why I suggest a beginner learn CRNN + CTC whenever you want to bring great @kritidoneria ideas to your CV. Because CRNN + CTC was used in many related OCR products right now, and learning about it can help you to deal with detailed technique questions in a interview also.
I see what you mean @promrcan1
", "rawMarkdown": "I see what you mean @promrcan1 " } ] }, { "id": 1387110, "postDate": "2021-07-14T01:19:37.147Z", "content": "That's an awesome insight! I guess we should always ask ourselves \"how can a company extract value from this project?\" while writing them down our CV's. A computer vision project that can classify dogs in 120 distinct breeds? Cool. But how can we translate this to coporate gains? (money, time, etc).
", "rawMarkdown": "That's an awesome insight! I guess we should always ask ourselves \"how can a company extract value from this project?\" while writing them down our CV's. A computer vision project that can classify dogs in 120 distinct breeds? Cool. But how can we translate this to coporate gains? (money, time, etc).", "votes": 2, "replies": [ { "id": 1407427, "postDate": "2021-08-01T20:57:07.633Z", "content": "Exactly @jonaslneri
", "rawMarkdown": "Exactly @jonaslneri ", "votes": 1 } ] }, { "id": 1530210, "postDate": "2021-10-01T03:02:51.993Z", "content": "Thank you.
", "rawMarkdown": "Thank you.", "votes": 1 } ], "comments": [ { "id": 1465929, "author_name": "Kei", "author_url": "", "post_date": "2021-08-11T08:30:39.700000", "content": "Such a good hint to make a more interesting CV. But when I worked on Invoices and License-plate reading projects, I've had nothing to do with \"Digit Recognizer\" and \"MNIST\".
\nThat is the reason why I suggest a beginner learn CRNN + CTC whenever you want to bring great @kritidoneria ideas to your CV. Because CRNN + CTC was used in many related OCR products right now, and learning about it can help you to deal with detailed technique questions in a interview also.
I see what you mean @promrcan1
", "votes": 0, "replies": [] } ] }, { "id": 1387110, "author_name": "Jonas Neri", "author_url": "", "post_date": "2021-07-14T01:19:37.147000", "content": "That's an awesome insight! I guess we should always ask ourselves \"how can a company extract value from this project?\" while writing them down our CV's. A computer vision project that can classify dogs in 120 distinct breeds? Cool. But how can we translate this to coporate gains? (money, time, etc).
", "votes": 2, "replies": [ { "id": 1407427, "author_name": "KritiDoneria", "author_url": "", "post_date": "2021-08-01T20:57:07.633000", "content": "Exactly @jonaslneri
", "votes": 1, "replies": [] } ] }, { "id": 1530210, "author_name": "Varun Ragul 19MIA1085", "author_url": "", "post_date": "2021-10-01T03:02:51.993000", "content": "Thank you.
", "votes": 1, "replies": [] } ], "raw_markdown_by_id": { "1386860": "# The aim of showcasing a project in your resume is to tell how can you use what you know to drive benefit. Choose your words wisely.\n\nWriting 'Digit recognizer' and 'MNIST' in your resume is cliché. Instead, try these:\n\n1. Bank cheque/invoices/documents processing using OCR (quantify the impact in terms of man hours having)\n2. Document verification system ( OCR and ID verification)\n3. Examination grading by digitization MCQ only)\n4. Scientific notes digitizer\n5. License-plate reading\n\n\nThanks", "1465929": "Such a good hint to make a more interesting CV. But when I worked on Invoices and License-plate reading projects, I've had nothing to do with \"Digit Recognizer\" and \"MNIST\".\nThat is the reason why I suggest a beginner learn CRNN + CTC whenever you want to bring great @kritidoneria ideas to your CV. Because CRNN + CTC was used in many related OCR products right now, and learning about it can help you to deal with detailed technique questions in a interview also.", "1387110": "That's an awesome insight! I guess we should always ask ourselves \"how can a company extract value from this project?\" while writing them down our CV's. A computer vision project that can classify dogs in 120 distinct breeds? Cool. But how can we translate this to coporate gains? (money, time, etc).", "1530210": "Thank you." } }