機器學習與光電系統

臺北科技大學 114-2 學期課程，課號 355245。

• 學期：114-2
• 授課教師：伊柏文
• 學分：3
• 選修
• 上課時段：週五 2、3、4 節

課程大綱

1. 機器學習簡介及基本概念 2. 用於分類、迴歸和分群的機器學習演算法 3. 機器學習模型訓練、評估與最佳化技術 4. 機器學習在光電系統的應用 1. Introduction and basic concepts of machine learning 2. Machine learning algorithms for classification, regression and clustering 3. Machine learning model training, evaluation, and optimization technology 4. Application of machine learning in optoelectronic systems

課程進度

Week 1: Course overview Week 2. Introduction and basic concepts of machine learning Week 3. Types of Machine learning Week 4-9. Machine learning algorithms for classification, regression and clustering Week 10-13. Machine learning model training, evaluation, and optimization technology Wek 14-17. Application of machine learning in optoelectronic systems Week 18. Final Project presentation

評量方式

HomeWorks: 40% Lab Quiz's : 20% Class Participation and Attendance: 10% Final project and report: 30%

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 References: 1. Ethem Alpaydin, Introduction to Machine Learning, PHI 3rd edition, 2014 2. Peter Flach, Machine Learning: the art and science of algorithms that make sense of data, Cambridge university press, edition 2012.