- The most statistically out-of-position players in the NBA http://en.wikipedia.org/wiki/Naive_Bayes_classifier 553 comments nba
Linking pages
- GitHub - DanielRapp/twss.js: A node.js "that's what she said" classifier https://github.com/DanielRapp/twss.js 63 comments
- Announcing the Internet Computer “Mainnet” and a 20-Year Roadmap | by Dominic Williams | The Internet Computer Review | Medium https://medium.com/dfinity/announcing-internet-computer-mainnet-and-a-20-year-roadmap-790e56cbe04a 27 comments
- Why Companies Write Terrible Job Posts | Alya's Blog http://alyaabbott.wordpress.com/2014/09/22/why-companies-write-terrible-job-posts/ 20 comments
- GitHub - justmarkham/DAT8: General Assembly's 2015 Data Science course in Washington, DC https://github.com/justmarkham/DAT8 14 comments
- GitHub - mikeroyal/Unreal-Engine-Guide: Unreal Engine 5 Guide. Learn to develop games for Windows, Linux, macOS, iOS, Android, Xbox Series X|S, PlayStation 4 & 5, Nintendo Switch. https://github.com/mikeroyal/Unreal-Engine-Guide#linux-development 12 comments
- Smart classification using Bayesian monads in Haskell | Random Hacks http://www.randomhacks.net/2007/03/03/smart-classification-with-haskell/ 10 comments
- GitHub - mikeroyal/Neuromorphic-Computing-Guide: Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures. https://github.com/mikeroyal/Neuromorphic-Computing-Guide 7 comments
- Implementing a Naive Bayes Text Classifier | Not So Null http://blog.pawandubey.com/implementing-a-naive-bayes-text-classifier/ 7 comments
- The Three Faces of Bayes – Slackpropagation https://slackprop.wordpress.com/2016/08/28/the-three-faces-of-bayes/ 4 comments
- GitHub - fredwu/simple_bayes: A Naive Bayes machine learning implementation in Elixir. https://github.com/fredwu/simple_bayes 3 comments
- Do Androids Dream of Electric Blue? http://timcheeseman.com/funwithcomputers/2017/12/21/do-androids-dream-of-electric-blue.html 3 comments
- GitHub - mikeroyal/Machine-Learning-Guide: Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, and Training Models. https://github.com/mikeroyal/Machine-Learning-Guide 2 comments
- GitHub - mikeroyal/Game-Console-Dev-Guide: Game Console Dev Guide. Learn to develop games for Xbox Series X|S, PlayStation 4 & 5, Nintendo Switch, Steam Deck, and Apple Silicon. https://github.com/mikeroyal/Game-Console-Dev-Guide 1 comment
- 52-technologies-in-2016/README.md at master · shekhargulati/52-technologies-in-2016 · GitHub https://github.com/shekhargulati/52-technologies-in-2016/blob/master/03-stanford-corenlp/README.md 1 comment
- Smart classification using Bayesian monads in Haskell | Random Hacks http://www.randomhacks.net/articles/2007/03/03/smart-classification-with-haskell 1 comment
- The Help Search Algorithm https://monzo.com/blog/2017/08/22/the-help-search-algorithm/ 1 comment
- How to get started in NLP. Somewhere I read that if you ever have… | by Melanie Tosik | Towards Data Science https://medium.com/towards-data-science/how-to-get-started-in-nlp-6a62aa4eaeff 0 comments
- The Three Faces of Bayes – Slackpropagation https://slackprop.wordpress.com/2016/08/28/the-three-faces-of-bayes/?mkt_tok=eyJpIjoiTldZME9HVXdORFpqWW1GayIsInQiOiJRYUZSV0JRRnNJcmQ5WTQ5eEJ4bkgrQml0c2hrdnNqQzRcL05Nc1wvVElVdjVxTTc4V1MzU1Z5ZTNzdUtOeDJzZmw0OGl6ZGRqQ1ptYURiekNwTmZ4RVdzREtyVU1IK01EOXVITGRpK1ErUnVFPSJ9 0 comments
- 52-technologies-in-2016/03-stanford-corenlp at master · shekhargulati/52-technologies-in-2016 · GitHub https://github.com/shekhargulati/52-technologies-in-2016/tree/master/03-stanford-corenlp 0 comments
- GitHub - MinhasKamal/SkinDetector: Detects Human Skin From Image (color-region-segmentation-photo-detection-extraction-detect) https://github.com/MinhasKamal/SkinDetector 0 comments
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