人工智慧與機器學習

臺北科技大學 115-1 學期課程，課號 366056。

• 學期：115-1
• 授課教師：姚立德
• 學分：3
• 選修
• 上課時段：週一 6、7、8 節

課程大綱

1. Introduction 2. Supervised Learning 3. Bayesian Decision Theory 4. Parametric Methods 5. Multivariate Methods 6. Dimensionality Reduction 7. Clustering 8. Decision Trees 9. Linear Discrimination 10. Kernel Machine

課程進度

1. Introduction to Artificial Intelligence and Machine Learning (0.5 Wk) 2. Supervised Learning (1.5 Wk) 3. Bayesian Decision Theory (2 Wk) 4. Parametric Methods (1 Wk) 5. Multivariate Methods (2 Wk) 6. Dimensionality Reduction (3 Wk) 7. Clustering (2 Wk) 8. Decision Trees (2 Wk) 9. Linear Discrimination (2 Wk) 10. Kernel Machines (2 Wk)

評量方式

1st Exam: 30% 2nd Exam: 30% 3rd Exam: 35% Participation: 5%

教材

【遵守智慧財產權觀念，請使用正版教科書，不得使用非法影印教科書】 使用外文原文書：是 Introduction to Machine Learning, 4th Edition, Ethem Alpaydin, MIT Press, 2020.