- Elo Ratings v. Machine Learning: Predicting Chess Game Results https://pawnalyze.com/tournament/2022/02/27/Elo-Rating-Accuracy-Is-Machine-Learning-Better.html 11 comments chess
Linking pages
- Magnus Carlsen’s Quest for 2900 Elo | Pawnalyze https://pawnalyze.com/magnus-carlsen-2900-elo/ 17 comments
- Analyzing Allegations of Cheating Against Hans Niemann | Pawnalyze https://pawnalyze.com/chess-drama/2022/09/05/Analyzing-Allegations-Niemann-Cheating-Scandal.html 13 comments
- How Our Chess Tournament Predictions Work | Pawnalyze https://pawnalyze.com/chess-simulations/2022/06/20/How-Our-Chess-Tournament-Predictions-Work.html 2 comments
- Analyzing long win streaks in online chess | Kirill Bobyrev https://kirillbobyrev.com/blog/analyzing-long-win-streaks/ 1 comment
Linked pages
- Caissabase - A massive free chess http://caissabase.co.uk/ 73 comments
- GitHub - microsoft/LightGBM: A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. https://github.com/Microsoft/LightGBM 11 comments
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