8/24 – 9/18

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 進行中 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

加入行事曆

選擇訂閱 Google Calendar,或下載通用的 ICS 檔案。

使用 Google Calendar 時,Google 會收到這份課表的公開連結。

機器學習與金融科技

Machine Learning and FinTech

學期
113-1
學分
0 學分
當期課號
537707
永久課號
MGIF30043
開課單位
資訊管理與財務金融系財務金融碩博士班
授課教師
鄧惠文
校區
光復
類別
選修
上課時間表
週一
2
09:00–09:50
機器學習與金融科技
M102(光復)
3 節連堂
3
10:10–11:00
4
11:10–12:00

* 根據陽明交大上課時間表所列

概述

This course provides an introduction to machine learning from a statistical perspective, emphasizing Financial Technology (FinTech) applications such as default prediction and wealth management. Students will apply machine learning techniques through hand-on projects, shared on GitHub, blending theory with practical programming. The course focuses on problem-solving in financial technology, fostering collaboration, innovation, and data-driven decision-making. Students will also develop essential skills in oral presentations and utilize ChatGPT to enhance coding and writing. This dynamic course prepares students for real-world FinTech challenges.

先修科目

The course covers machine learning principles from a statistical perspective, focusing on FinTech applications. While calculus, probability, and linear algebra are helpful, they are not required. Python proficiency is recommended but not mandatory.

備註

無備註

教學方式

陳諾恆 (Jason Chan)

評分方式

1 Infrastructure 4% 2 Participation 20% 3 Homework 16% 4 Project 30% 5 Exam 30%

課程大綱

教師未提供此項資料

週次計畫
週次主題
第 1 週Syllabus
第 2 週C02: Statistical Learning &amp Lab on Python
第 3 週C12: Unsupervised learning
第 4 週C12: Unsupervised Learning
第 5 週C12: Unsupervised Learning
第 6 週C03: Linear Regression
第 7 週C04: Classification
第 8 週C04: Classification
第 9 週C05: Resampling, C06: Model selection
第 10 週C07: Beyond Linearity
第 11 週C08: Tree-Based Methods
第 12 週C09: SVM, C10: Neural Networks
第 13 週Large Language models
第 14 週Exam
第 15 週Presentation of Projects
第 16 週Presentation of Projects
教科書

James et al. (July, 2023) An introduction to Statistical Learning with Applications in Python https://hastie.su.domains/ISLP/ISLP_website.pdf GitHUB: https://github.com/HWTeng-Teaching/202409-ML-FinTech

Office Hours
地點
by appointment
時間
by appointment
聯絡方式
Email: venteng@gmail.com