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Shao-ting Hsu
畢業於國立交通大學統計學研究所。期間修習機率、數理統計、進階統計模型推導和參數估計;以及機器學習和深度學習等進階預測模型。 擅長使用R、Python。R語言使用時機為數值分析、製作統計報表、資料清洗等。在深度學習、工研院計畫、碩士倫文時使用Python。 在學期間曾參與國泰大數據競賽、工研院學研計畫、電機所腦波統計方法顧問、B-S模型數值估算。 碩士論文為討論潛在類別迴歸模型超參數選擇之預測,主要處理複雜非結構型資料之預測。
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