Hacker News
- Gaussian Processes for Machine Learning (free book) http://www.gaussianprocess.org/gpml/ 7 comments programming
Linking pages
- GitHub - jbhuang0604/awesome-computer-vision: A curated list of awesome computer vision resources https://github.com/jbhuang0604/awesome-computer-vision 17 comments
- Bayesian machine learning - FastML http://fastml.com/bayesian-machine-learning/ 6 comments
- AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks – Google Research Blog https://blog.research.google/2024/03/autobnn-probabilistic-time-series.html?m=1 5 comments
- Automatically making sense of data – Google AI Blog http://googleresearch.blogspot.com/2014/12/automatically-making-sense-of-data.html 4 comments
- free-programming-books/free-programming-books-subjects.md at main · EbookFoundation/free-programming-books · GitHub https://github.com/EbookFoundation/free-programming-books/blob/main/books/free-programming-books-subjects.md 3 comments
- Qix/dl.md at master · ty4z2008/Qix · GitHub https://github.com/ty4z2008/Qix/blob/master/dl.md 1 comment
- Interpreting AI Is More Than Black And White https://www.forbes.com/sites/alexanderlavin/2019/06/17/beyond-black-box-ai 1 comment
- AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks – Google Research Blog https://blog.research.google/2024/03/autobnn-probabilistic-time-series.html 1 comment
- The Model Complexity Myth | Pythonic Perambulations https://jakevdp.github.io/blog/2015/07/06/model-complexity-myth/ 0 comments
- Nonparametric Bayesian Regression with Gaussian Processes | Austin Rochford http://www.austinrochford.com/posts/2014-03-23-bayesian-nonparamtric-regression-gp.html 0 comments
- GitHub - quarbby/links-and-resources: :pencil2: A collection of textbooks, links and resources during our studying years in NUS SoC https://github.com/quarbby/links-and-resources 0 comments
- GitHub - SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control: Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments https://github.com/SimonRennotte/Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control 0 comments
- GitHub - tryolabs/awesome-tryo: A curated list of awesome resources we use at Tryolabs https://github.com/tryolabs/awesome-tryo 0 comments
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