上課方式：
<br>由於本課程人數較多，為因應疫情採同步遠距上課
<br>上課連結:https://meet.google.com/xgt-gefj-wak
<br>請學生準時進入會議
<br>
<br>課程內容：
<br>1.金融科技簡介 (韓傳祥)
<br>2.金融工程 (韓傳祥)
<br>3.機器人理專 (韓傳祥)
<br>4.機器學習基礎 (翁詠祿)
<br>5.統計機器學習 (翁詠祿)
<br>6.金融數據分析 (翁詠祿、韓傳祥)
<br>7.保險科技與風險管理 (韓傳祥)
<br>8.資料前處理 (翁詠祿)
<br>9.機器學習模型 (翁詠祿)
<br>10.深度學習 (翁詠祿)
<br>11.專家演講 (2週)
<br>
<br>擬用教科書或參考書：
<br>教科書：上課講義
<br>參考書：
<br>1.	Christopher M. Bishop, Pattern Recognition and Machine Learning, 
<br>Springer, 
<br>2006.
<br>2.	Ian Goodfellow, Yoshua Bengio, and Aaron Courville, Deep Learning, 
<br>2016.
<br>3.	Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin, Learning 
<br>From Data, 2012.
<br>4.	Aur&#233;lien G&#233;ron, Hands-On Machine Learning with Scikit-Learn, Keras, and 
<br>TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, 2nd 
<br>Edition, 2019.
<br>5.	J. Hull, Machine Learning in Business: An Introduction to the World of 
<br>Data Science, Independently published, 2019.
<br>6.	Marcos Lopez de Prado,  Advances in Financial Machine Learning, Wiely, 
<br>2018.
<br>7.	Sebastian Raschka and Vahid Mirjalili, Python Machine Learning: Machine 
<br>Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd 
<br>Edition, 2019.
<br>