Kaggle Solutions
kaggle.curtischong.me · 583 words · saved by 3 readers
Feb 02, 2024, 3 min read Here are the notes to: All Competitions Created with Quartz v4.1.6, © 2024
Here are the notes to: All Competitions The Goal: To identify ALL the techniques used by the best teams Why? Because knowing these tips helps you build intuition on what to do. It makes you better Why Study Kaggle Competitions? Cause people have to go through the entire ml process People need to be considerate of computational resources Many people have iterated on the same problem → better ideas It’s a competition, so people try a lot harder to figure out what works/doesn’t They aren’t motivated to only show positive results. People will talk about their failures as well People…
saved by
related reading
- Kaggle Solutionsfarid.one
- An Opinionated Guide to ML Researchjoschu.net
- Practical Deep Learning for Coders - Practical Deep Learningcourse.fast.ai
- Making Deep Learning go Brrrr From First Principleshorace.io
- A Recipe for Training Neural Networkskarpathy.github.io
- Competing in a data science contest without reading the datablog.mrtz.org
- A Recipe for Training Neural Networkskarpathy.github.io
- GitHub - google-research/tuning_playbook: A playbook for systematically maximizing the performance of deep learning models.github.com
- Tips for Empirical Alignment Research — AI Alignment Forumalignmentforum.org
- ML Contestsmlcontests.com
- Practical Deep Learning for Coders - 1: Getting startedcourse.fast.ai
- Learning Tracks — Technicallytechnically.dev