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Takami Sato
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Japan Japan
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Technology / Software / Internet
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- Data Analysis (Marketing, HR, GIS) - Mathematical Optimization (Logistics, Insurance)
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(14)?
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Kaggle Santa 2019¤Çѧ¤ÖMIP×îßm»¯ÈëéT
Kaggle Santa 2019¤Çѧ¤ÖMIP×îßm»¯ÈëéT
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NIPS2017Õi¤ß»á LightGBM: A Highly Efficient Gradient Boosting Decision Tree
NIPS2017Õi¤ß»á LightGBM: A Highly Efficient Gradient Boosting Decision Tree
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Kaggle£¦¸‚¥×¥í½B½é in ÖÐÌïÑо¿ÊÒ
Kaggle£¦¸‚¥×¥í½B½é in ÖÐÌïÑо¿ÊÒ
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²Ï³Ü´Ç°ù²¹¥³¥ó¥Ø?²Î¼Ó¼Çåh
²Ï³Ü´Ç°ù²¹¥³¥ó¥Ø?²Î¼Ó¼Çåh
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Data Science Bowl 2017 Winning Solutions Survey
Data Science Bowl 2017 Winning Solutions Survey
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NIPS2016Õ“ÎĽB½é Riemannian SVRG fast stochastic optimization on riemannian manifolds
NIPS2016Õ“ÎĽB½é Riemannian SVRG fast stochastic optimization on riemannian manifolds
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