107年第1學期-0537 機器學習在物理 課程資訊

課程分享

選課分析

本課程名額為 30人,已有24人選讀,尚餘名額6人。

評分方式

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

授課教師

吳桂光

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.

課程資訊

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