- Gaussian noise in a image https://en.wikipedia.org/wiki/Root-mean-square_deviation 6 comments matlab
- Premier League Simple Ranking System and Pythagorean Win Expectation http://en.wikipedia.org/wiki/Root-mean-square_deviation 50 comments soccer
Linking pages
- GitHub - fogleman/primitive: Reproducing images with geometric primitives. https://github.com/fogleman/primitive 221 comments
- Nylon Calculus: What's the best advanced stat? https://fansided.com/2019/01/08/nylon-calculus-best-advanced-stat/ 45 comments
- Can a Machine Learning Model Predict the SP500 by Looking at Candlesticks? | Mario Filho | Machine Learning http://mariofilho.com/can-machine-learning-model-predict-the-sp500-by-looking-at-candlesticks/ 33 comments
- The East Is Even - The Ringer https://theringer.com/2016-al-east-playoff-race-red-sox-1ca4333ecd8a 7 comments
- Bitcoin price forecasting with deep learning algorithms | by Igor Bobriakov | ActiveWizards — AI & ML for startups | Medium https://medium.com/activewizards-machine-learning-company/bitcoin-price-forecasting-with-deep-learning-algorithms-eb578a2387a3 6 comments
- Simulating A/B tests offline with counterfactual inference http://abhadury.com/articles/2019-05/simulating-ab-tests 3 comments
- Models Based on 'Fundamentals' Have Failed at Predicting Presidential Elections - The New York Times http://fivethirtyeight.blogs.nytimes.com/2012/03/26/models-based-on-fundamentals-have-failed-at-predicting-presidential-elections/#more-29633 3 comments
- Tidymodels, interactions and anova - a short tutorial | Thomas Van Hoey | Sinologica https://www.thomasvanhoey.com/post/2021-10-12-tidymodels-interactions/ 3 comments
- Machine Learning Techniques for Predictive Maintenance https://www.infoq.com/articles/machine-learning-techniques-predictive-maintenance 1 comment
- Robotics: Adaptive Control and Vision – Edinburgh Hacklab http://edinburghhacklab.com/2013/05/robotics-adaptive-control-and-vision/ 1 comment
- Generative AI to quantify uncertainty in weather forecasting – Google Research Blog https://blog.research.google/2024/03/generative-ai-to-quantify-uncertainty.html 1 comment
- Challenge #3: Image-Based Localization | by Oliver Cameron | Udacity Inc | Medium https://medium.com/udacity/challenge-3-image-based-localization-5d9cadcff9e7 0 comments
- Challenge #2: Using Deep Learning to Predict Steering Angles | by Oliver Cameron | Udacity Inc | Medium https://medium.com/udacity/challenge-2-using-deep-learning-to-predict-steering-angles-f42004a36ff3#.h0vejw8im 0 comments
- Grading The 2016 Election Forecasts https://www.buzzfeed.com/jsvine/2016-election-forecast-grades 0 comments
- Gradient Descent from scratch - Philipp Muens https://philippmuens.com/gradient-descent-from-scratch/ 0 comments
- bnomial-archive/questions.md at master · akhildevelops/bnomial-archive · GitHub https://github.com/Enforcer007/bnomial-archive/blob/master/questions.md 0 comments
- Zero Effort Machine Learning with Couchbase and Spark MLlib - The Couchbase Blog https://blog.couchbase.com/zero-effort-machine-learning-couchbase-spark-mllib/ 0 comments
- Camera Response Function | RoboAlgorithms https://roboalgorithms.com/posts/camera-response-function/ 0 comments
- A Scalable Approach for Partially Local Federated Learning – Google AI Blog https://ai.googleblog.com/2021/12/a-scalable-approach-for-partially-local.html 0 comments
- Getting Started with Kaggle: House Prices Competition – Dataquest https://www.dataquest.io/blog/kaggle-getting-started/ 0 comments
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