本課程學習機器學習之原理與工具應用，包含建立自動化爬蟲，迴歸分析，分類與分群，隨機森林與決策樹，XGBoost等方法。本課程學習使用大語言模型建議自動化爬蟲程式程式來收集數據，學習個各種醫療與財務金融，以及IOT Data analysis 數據集等案例。
This course learns the principles and tool application of machine learning, including establishing automated crawling, reproduction analysis, classification and grouping, random forests and decision trees, XGBoost and other methods. This course learns using the big language model to suggest automatic crawling program to collect data, learn various medical and financial, and IOT Data analysis data sets and other cases.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 2nd Edition, Aurélien Géron, 出版社 O'Reilly Media, 出版年 2019
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 2nd Edition, Aurélien Géron, Press O'Reilly Media, Year of Publication 2019
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中報告期中報告 Midterm Report |
20 | |
| 期末報告期末報告 Final report |
30 | |
| 作業作業 Action |
30 | |
| 出席出席 Attend |
20 |
