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## Context
The Intel(R) Extension for Scikit-learn ([sklearnex](https://github.com/intel/scikit-learn-intelex/)) provides accelerations to popular classical machine learning algorithms, both on CPU…
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Notebook Goals
1. Grasp the significance of the fundamental rules of GPU Parrell programming, so that we can understand why common error messages occur, and have confidence reading code documentation…
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Current package impute missing values using mean and median.
Now I have identified an approach to apply Machine Learning models for imputing the missing values:
**Existing approach**:
Impute mi…
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Hi,Thanks for your great job! I have finisher all the work that are mentioned in readme . How to use the RL algorithms you mentioned in the paper ? Looking forward to your reply.
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## Reference
- 2011 [Algorithms for Hyper-Parameter Optimization](https://papers.nips.cc/paper/2011/file/86e8f7ab32cfd12577bc2619bc635690-Paper.pdf)
- 2013 [Making a Science of Model Search: Hyperpa…
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**Title of the talk/workshop**
Accelerate your pandas workload using FireDucks at zero manual effort
**Abstract of the talk/workshop**
In general, a Data Scientist spends significant efforts in t…
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We have already got batched register for solving the sampling problem.
Also, I find pretty useful to have batched blocks, especially in simulating `kernel` quantum algorithms in
> Schuld, Maria, a…
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## What is the issue about?
- [ ] Bug
- [ ] Feature request
- [x] Usage question
- [ ] Documentation
- [ ] Contributing / Development
## What part(s) of Essentia.js is involved?
- [x] essenti…
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### Paper
FedHe: Heterogeneous Models and Communication-Efficient Federated Learning
### Link
https://arxiv.org/abs/2110.09910
### Maybe give motivations about why the paper should be implemented …