Update README.md

README.md

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 This repository contains the code and implementation for the paper "Multi-Task Gradient Boosting".
 
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+The provided algorithm contains an implementation of the Multi-Task Gradient Boosting (MT-GB) algorithm, which extends the popular Gradient Boosting method for both classification and regression problems.
 
 # License
 The package is licensed under the GNU Lesser General Public License v2.1.
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 We warmly welcome contributions to the MT-GB! You can help enhance this algorithm by taking several actions, such as creating an issue to report a bug or suggest an improvement, forking the project and submitting a pull request to the development branch.
 
 ## Key members of MT-GB
-* [Gonzalo Martínez-Muñoz](https://github.com/gmarmu)
-* [Carlos Ruiz Pastor](https://github.com/carlosruizp)
-* [Seyedsaman Emami](https://github.com/samanemami/)
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+[Gonzalo Martínez-Muñoz](https://github.com/gmarmu), [Carlos Ruiz Pastor](https://github.com/carlosruizp), [Seyedsaman Emami](https://github.com/samanemami/)
 
-# Keywords
-Gradient Boosting, Multi Task learning
 
 # Release Information