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| participation and discussion |
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| midterm report |
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This course is designed for the Ph.D. and aggresive Master students. The purpose of this course is to help the students to facilitate the knowledge of Artificial Intelligence approaches and the possible applications. The ways to expolore the relationships among data are heavily investigated and discussed in these years. Searching and learning methods are alternative approaches in pursuing the goal. The basic concepts of Machine Learning will be covered and the methodologies on the statistical notion on data modeling will be emphasized.
Kecman, Vojislav, “Learning and Soft Computing”, The MIT Press, 2001
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