一、課程說明(Course Desc<x>ription)
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<br>The goal of pattern recognition is to classify unknown patterns into a 
<br>number of categories, to automatically detect patterns in data, and to make data-
<br>driven decisions. 
<br>This course will teach students basic pattern recognition procedures as well as 
<br>some selected techniques.
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<br>二、參考書籍(References)
<br>- S. Theodoridis and K. Koutroumbas, Pattern Recognition, 4th
<br>Edition, Academic Press, 2009.
<br>- C.M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.
<br>- R.O. Duda, P.E. Hart, D.G. Stork, Pattern Classification, 2nd Edition, John 
<br>Wiley, 2001.
<br>- E. Alpaydin, Introduction to Machine Learning, 3rd Edition, The MIT Press, 
<br>2014.
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<br>三、教學方式(Teaching Method)
<br>- Lecture
<br>- In-class discussion
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<br>四、教學進度(Syllabus)
<br>1. Introduction  
<br>2. Supervised pattern recognition
<br>   - Bayesian decision theory 
<br>   - Linear classifiers 
<br>   - Nonlinear classifiers  
<br>   - Feature selection  
<br>   - Dimension reduction  
<br>   - Context-dependent classification 
<br>3.  Unsupervised pattern recognition
<br>   - Basic concepts 
<br>   - Selected topics 
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<br>五、成績考核(Evaluation)
<br>- Assignments
<br>- Projects & reports
<br>- Oral presentation 
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<br>六、可連結之網頁位址
<br>https://elearn.nthu.edu.tw/
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