機器學習

臺北科技大學 114-2 學期課程，課號 359766。

課程大綱

本課程旨在讓學生掌握MATLAB的基本操作與機器學習技術，內容涵蓋數據導入與處理、知識發掘、回歸分析、分類演算法、聚類方法及人工神經網路等主題。此外，課程強調模型效能的優化與實務應用，透過結合理論講解與實作練習，幫助學生培養解決實際問題的能力，最終能夠獨立完成機器學習專案。This course is designed to equip students with fundamental MATLAB operations and machine learning techniques. The content includes data importing and processing, knowledge discovery, regression analysis, classification algorithms, clustering methods, and artificial neural networks. Furthermore, the course emphasizes model performance optimization and practical applications. By combining theoretical instruction with hands-on exercises, students will develop the ability to solve real-world problems and eventually complete independent machine learning projects.

課程進度

Week 1 Introduction to MATLAB Week 2 Getting Started with MATLAB Machine Learning Week 3 Importing and Organizing Data in MATLAB Week 4 From Data to Knowledge Discovery Week 5 Finding Relationships between Variables - Regression Techniques (Part 1) Week 6 Finding Relationships between Variables - Regression Techniques (Part 2) Week 7 Pattern Recognition through Classification Algorithms (Part 1) Week 8 Pattern Recognition through Classification Algorithms (Part 2) Week 9 Midterm Exam Week 10 Identifying Groups of Data Using Clustering Methods (Part 1) Week 11 Identifying Groups of Data Using Clustering Methods (Part 2) Week 12 Simulation of Human Thinking - Artificial Neural Networks (Part 1) Week 13 Simulation of Human Thinking - Artificial Neural Networks (Part 2) Week 14 Improves the Performance of the Machine Learning Model (Part 1) Week 15 Improves the Performance of the Machine Learning Model (Part 2) Week 16 Machine Learning in Practice (Part 1) Week 17 Machine Learning in Practice (Part 2) Week 18 Final Project Presentation

評量方式

40% Attendance rate + Homework 30% Midterm exam 30% Final project (Oral presentation) or Final exam

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 MATLAB Machine Learning Publisher: Packt Publishing Publication Date: 2017-08-28 Pages: 382 Binding: Paperback