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**Summary !!!**
- **BioModel Name**: Karim2021 - CardioTox net: Ligand-based prediction of hERG blockade
- **BioModel Tag**: Machine learning model, Ersilia, FAIR AIML
- **Metadata Comments**…
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**Abstract**
This talk covers ensemble learning, a paradigm of machine learning. Ensemble learning consists of combining multiple learning models for predictions, and is a popular method for predic…
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# 7 Lessons From Machine Learning Lessons Applied to Life
Data cleaning, transfer learning, overfitting, ensembling, and more.
[https://eugeneyan.com/writing/life-lessons-from-machine-learning/](htt…
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Problem Description:
The goal is to predict the likelihood of cervical cancer in individuals based on various risk factors such as age, number of sexual partners, pregnancies, and other related att…
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https://machinelearningmastery.com/stacking-ensemble-machine-learning-with-python/
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- 논문에서 얻은 인사이트 정리
- 코드로 구현하는 방법 정리
- 우리꺼에 어떻게 적용할 수 있을지..? 생각하기
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[Reconstruction of Nuclear Ensemble Approach Electronic Spectra Using Probabilistic Machine Learning](https://dx.doi.org/10.1021/acs.jctc.2c00004)
https://github.com/lucerlab/GMM-NEA
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**Abstract**
Introduction to machine learning: the fields, the categories, the applications.
**About**
This talk will cover what machine learning means both academically and in the real world…
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We are planning to expand the platform further and trying to bring in more quality content for the page. Suggestions regarding what should be added to the Intermediate Track are welcome under this iss…
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Post questions here about:
Witten, Ian H., Eibe Frank, Mark A. Hall, Christopher J. Pal. 2017. [“Ensemble Learning”](https://github.com/Computational-Content-Analysis-2020/Readings-Responses/files/…