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### Describe new/missing feature
Hello! I come from the machine learning side of nonlinear solving, and I've been using the default NewtonSolver for some hyperelasticity problems. I was wondering if …
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https://arxiv.org/abs/1906.01998
> Despite the widespread usage of machine learning throughout organizations, there are some key principles that are commonly missed. In particular: 1) There are at …
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Is your feature request related to a problem? Please describe.
Currently, it's not explicitly clear how to determine convergence in the Bradley-Terry model implemented in openskill.py. Users might st…
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Uses machine learning model with search methods to predict moves toward a solution of black-to-live life-and-death Go problems. Final evaluation is if black lives within double the maximum problem pat…
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A sentiment analyzer learns about various sentiments behind a content through machine learning and predicts the same using AI. By creating an ML system that would analyze the sentiment behind texts, o…
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**Lecture Courses**
http://www.robots.ox.ac.uk/~az/lectures/
https://www.gaussianwaves.com/2013/11/simulation-and-analysis-of-white-noise-in-matlab/
https://github.com/oxford-cs-deepnlp-2017
http…
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**[ UUID ]** bf48a0f4-ff79-4643-9e7a-1902f693af59
**[ Session Name ]** Rage against the Machine Learning: Why ML needs YOUR input!
**[ Primary Space ]** Decentralisation
**[ Secondary Space ]** Openn…
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In order to be a democratic game, it is necessary that everyone participate in the brainstorming process. Everyone can write the different technologies and topics to discuss in the game.
**Big Area…
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1.Andrew Wu’s Machine Learning;
2.Ep 1-1: introduction; (2018-12-24)
3.Ep 1-2: application of machine learning; (2018-12-24)
4.Ep 1-3: tools and algorithm; (2018-12-24)
Reading: Tom Mitchell provi…
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**Abstract**
There are various neural network frameworks, libraries and APIs available,and so its quite difficult to choose the best for the project. Still Keras is the most favourable.
**About*…