查詢教學大綱與進度

教學大綱與進度

課程基本資料：

學年期課號課程名稱階段學分時數修教師班級人撤備註

110-1 292947 人工智慧與機器學習 1 3.0 3 ★ 姚立德電機所
電資外生所 42 8 ◎

學年期	課號	課程名稱	階段	學分	時數	修	教師	班級	人	撤	備註
110-1	292947	人工智慧與機器學習	1	3.0	3	★	姚立德	電機所電資外生所	42	8	◎

教學大綱與進度：

教師姓名姚立德

Email ltyao@ntut.edu.tw

最後更新時間 2021-09-16 20:25:37

課程大綱 1. Introduction to Artificial Intelligence and Machine Learning 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 Machines 11. Hidden Markov Models

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 (1 Wk) 9. Linear Discrimination (1 Wk) 10. Kernel Machines (2 Wk) 11. Hidden Markov Models (2 Wk)

評量方式與標準 1st Exam: 30% 2nd Exam: 30% 3rd Exam: 35% Participation: 5%

使用教材、參考書目或其他 【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.

課程諮詢管道 Office Hours: 19:00-21:00, Mon-Wed,
Office: Room 314, Complex Building
(綜合科館314)

備註 ●上課方式：遠距上課

●評量方式：
Three Exams are all Take Home Exam.
●補充說明資訊：
Please send your email to me so that I can build up a communication link for this course. My email is: ltyao@ntut.edu.tw

教師姓名	姚立德
Email	ltyao@ntut.edu.tw
最後更新時間	2021-09-16 20:25:37
課程大綱	1. Introduction to Artificial Intelligence and Machine Learning 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 Machines 11. Hidden Markov Models
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 (1 Wk) 9. Linear Discrimination (1 Wk) 10. Kernel Machines (2 Wk) 11. Hidden Markov Models (2 Wk)
評量方式與標準	1st Exam: 30% 2nd Exam: 30% 3rd Exam: 35% Participation: 5%
使用教材、參考書目或其他	【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.
課程諮詢管道	Office Hours: 19:00-21:00, Mon-Wed, Office: Room 314, Complex Building (綜合科館314)
備註	●上課方式：遠距上課 ●評量方式： Three Exams are all Take Home Exam. ●補充說明資訊： Please send your email to me so that I can build up a communication link for this course. My email is: ltyao@ntut.edu.tw