5701 - 大數據應用與產業案例實作

Study and Implementation of Big Data and Industry Applications

教育目標 Course Target

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.

參考書目 Reference Books

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

評分方式 Grading

評分項目
Grading Method		 配分比例
Percentage		 說明
Description
期中報告
Midterm Report
 20
期末報告
Final report
 30
作業
Action
 30
出席
Attend
 20

授課大綱 Course Plan

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課程資訊 Course Information

基本資料 Basic Information
  • 課程代碼 Course Code: 5701
  • 學分 Credit: 0-3
  • 上課時間 Course Time:
    Tuesday/2,3,4[ST405]
  • 授課教師 Teacher:
    陳隆彬
  • 修課班級 Class:
    資工碩,專班1,2
選課狀態 Enrollment Status
目前選課人數 Current Enrollment: 19 人
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