107年第1學期-0537 機器學習在物理 課程資訊

評分方式

評分項目	配分比例	說明
on line quizzes	20
home works	80

教育目標

In this course we will introduce the basic concepts of machine learning, including supervised and unsupervised learning, linear and logistic regression, regularization, neural networks, dimensional reduction, and etc. We will apply the method to physics related problems and learn how to make predictions and solve non-trivial problems.

基本資料

選修課，學分數：2-0
上課時間：五/1,2[ST019]
修課班級：應物系2-4
修課年級：年級以上
選課備註：電腦教室

參考書目

References:
Thoughtful machine learning
O'Relly, Matthew Kirk

http://mropengate.blogspot.com/2015/05/ai-supervised-learning.html
https://happycoder.org/2017/10/07/python-data-science-and-machine-learning-tutorial-introduction/
http://scikit-learn.org/stable/index.html