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There's very much a question of whether this is worth the leap for us in the short term, but either way it's worth documenting what this might involve.
First of all, we use scikit-learn for running…
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Have there been any thoughts of implementing an optimization routine (with interface to Python) that can optimize multiple types of parameters at once? This is often needed when optimizing machine lea…
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Steps and tasks to be done for gender bias mitigation in OpeNTF:
**1. Related works**
- [x] Learning to form skill-based teams of experts.
- [x] Bootless Application of Greedy Re-ranking Algorit…
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Consider the following resources for machine learning, probability, and classic AI
## tagged machine learning
[Wheel/Rail Adhesion State Identification of Heavy-Haul Locomotive Based on Particle…
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Traditional recommendation system based on the user rating on the similar items.
So, we can predict the user rating on an unrated item based on the his rates with the similar items.
source : htt…
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can you please assign this .
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There's a culture in ML of authors making their textbooks available online (to supplement the traditional print editions), which is extremely beneficial to students & researchers. The following is a l…
ghost updated
5 years ago
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Dear Piero,
I hope all is well in these difficult.
I started using Ludwig and I have to admit that it a very promising package.
I have tested with the iris data. It worked fine. Still I want to for…
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Here are ten unsolved problems in algorithmic trading framed within a pure mathematics context:
1. **Optimal Execution Problem**: Finding a universally optimal strategy for executing large orders t…
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Hello there, my team has been trying to implement the Attention Model in RL platforms so that we can try out different RL algorithms. Eventually, we succeed to implement the most efficient one with PP…
cpwan updated
8 months ago