100 學年度下學期
資訊工程系
機器學習
開課班級 : 資工系碩士班
任課教師 : 黃貞瑛 ([email protected]) 教師辦公室 : SF 628
成績評量 : (25%) 習題作業
(25%) 隨堂測驗、出席 (20%) 期中考
(10%) 上台或書面報告一次 (20%) 期末程式作業
成績評量方式有可能因應課程之必要而作部分調整，會於課堂上公佈
教科書 :1 Machine Learning, Tom M. Mitchell, McGraw-Hill, 1997. (俊傑書局代理)
2. Introduction to Machine Learning, Ethem Alpaydin, 2004. (開發書局代理)
參考書 :1.Data Mining: Practical Machine Learning Tools and Techniques, Second Edition, Ian H. Witten and Eibe Frank, 2005.
2. Introduction to Data Mining, Pang-Ning Tan, Michael Steinbach, and Vipin Kumar, 2005.
課程目的 :
The goal of this course is to introduce the basic concepts, theory, terminology, and methodologies of machine learning in general. The emphasis of the course is to provide an understanding of the underlying algorithms used in various learning methods.
課程大綱 : Lecture selected from the following (as time permits) 1. Introduction
2. Concept Learning and the General-to-Specific Ordering 3. Decision Tree Learning
4. Artificial Neural Networks 5. Genetic Algorithms
6. Supervised Learning 7. Bayesian Decision Theory 8. Dimensionality Reduction 9. Clustering
