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[Doc] Add list of winning solutions in data science competitions using XGBoost (#6177)

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@ -78,6 +78,7 @@ XGBoost is extensively used by machine learning practitioners to create state of
this is a list of machine learning winning solutions with XGBoost. this is a list of machine learning winning solutions with XGBoost.
Please send pull requests if you find ones that are missing here. Please send pull requests if you find ones that are missing here.
- Radek Osmulski, 1st place of the [iMaterialist Challenge (Fashion) at FGVC5](https://www.kaggle.com/c/imaterialist-challenge-fashion-2018/overview). Link to [the winning solution](https://www.kaggle.com/c/imaterialist-challenge-fashion-2018/discussion/57944).
- Maksims Volkovs, Guangwei Yu and Tomi Poutanen, 1st place of the [2017 ACM RecSys challenge](http://2017.recsyschallenge.com/). Link to [paper](http://www.cs.toronto.edu/~mvolkovs/recsys2017_challenge.pdf). - Maksims Volkovs, Guangwei Yu and Tomi Poutanen, 1st place of the [2017 ACM RecSys challenge](http://2017.recsyschallenge.com/). Link to [paper](http://www.cs.toronto.edu/~mvolkovs/recsys2017_challenge.pdf).
- Vlad Sandulescu, Mihai Chiru, 1st place of the [KDD Cup 2016 competition](https://kddcup2016.azurewebsites.net). Link to [the arxiv paper](http://arxiv.org/abs/1609.02728). - Vlad Sandulescu, Mihai Chiru, 1st place of the [KDD Cup 2016 competition](https://kddcup2016.azurewebsites.net). Link to [the arxiv paper](http://arxiv.org/abs/1609.02728).
- Marios Michailidis, Mathias Müller and HJ van Veen, 1st place of the [Dato Truely Native? competition](https://www.kaggle.com/c/dato-native). Link to [the Kaggle interview](http://blog.kaggle.com/2015/12/03/dato-winners-interview-1st-place-mad-professors/). - Marios Michailidis, Mathias Müller and HJ van Veen, 1st place of the [Dato Truely Native? competition](https://www.kaggle.com/c/dato-native). Link to [the Kaggle interview](http://blog.kaggle.com/2015/12/03/dato-winners-interview-1st-place-mad-professors/).