# 機器學習
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## 課程概要
This course offers a comprehensive introduction to machine learning. Students will understand the theoretical foundations of machine learning algorithms and gain hands-on experience implementing them using Python and TensorFlow. Through real-world applications, students will demonstrate their ability to apply machine learning algorithms to solve practical problems.
## 課程資訊
- **課程編號/代碼**: 4117
- **學分數**: 3
- **上課地點**: S821
- **授課教師**: 楊景明
- **聯絡方式**:
- **課程時間**: [周1 678](/NzV-a9tGRX-__mPE58OdLQ)

## 目標
1. Understand the theoretical foundations of machine learning algorithms.
2. Implement machine learning algorithms using Python and TensorFlow.
3. Apply machine learning algorithms to real-world problems.
## 課程內容
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| week | task |
| ------ |:------------------------------------------------------------------------------ |
| 第1週 | [What is Machine Learning](/z22e-7r-SLKN9aDQHlZsvg) |
| 第2週 | [End-to-End Machine Learning Task](/JOgy4n8NT5GB4C9E1Ty3jQ) |
| 第3週 | [Classification](/0fKPwVJSTAqVqwRvC1s9AA) |
| 第4週 | [Regression](/uUM_D_UFSN6_mClhGr7JuQ) |
| 第5週 | [Gradient Descent](/uUM_D_UFSN6_mClhGr7JuQ) |
| 第6週 | Holiday Week |
| 第7週 | [Support Vector Machine](/ji56kq2dStmfxuxVg0jsYw) |
| 第8週 | [Decision Tree](/tgD5d8ziR3OBHMPubDHdZw) |
| 第9週 | Midterm Exam |
| 第10週 | [Ensemble Learning and Random Forest](/Bc8PwYttQ6aO2cuks9Z9Sw)(第一次段考結束) |
| 第11週 | [Data Preprocessing](/uC-3H-ecQiG87gbgDppLxQ) |
| 第12週 | [Dimensionality Reduction](/jwXzd_q2TWuKS7LvxqZpvA) |
| 第13週 | [Reading Assignment (Self-learning Week)](/4ZBJnEGxTm-mof-a73KloQ) |
| 第14週 | [Unsupervised Learning](/-7Vhk_idTsGHlm_-Fqe5lw) |
| 第15週 | [Deep Learning and Neural Network](/xf4Tf3NrT6S4a46qUpX-WQ) |
| 第16週 | [RNN](/_staIQQlQQKO-4X25WT5Uw) [CNN](/yORYhXWLSy-p0N8Cj81U1w) [GAN](/35sXaZ7aSgCM09kiAj4U7w) |
| 第17週 | Final Exam |
| 第18週 | Reading Assignment (Self-learning Week) |
## 評估
- Reading report (20%) 70
- Midterm exam (20%) 74
- Final exam (30%)
- Classroom performance (30%) 70