Instructor: Qili Gao(高琦丽)
Email: qlgao@szu.edu.cn
Room: Huixing Building-Classroom 4
Time: 周五 7-10节
Credits: 2/32 课时
Table of Contents
Grade breakdown
| Requirements |
Percent |
Points |
Note |
| Attendance |
15% |
100 |
|
| In-class Assignment |
10% |
100 |
|
| Small Project |
15% |
100 |
|
| Final Project |
60% |
100 |
|
Class Schedule
| Week |
Topic |
| 1 |
Introduction to Artificial Intelligence & Machine Learning & Linear Regression |
| 2 |
Logistic Regression |
| 3 |
Multi-Classification |
| 4 |
Model Evaluation (In-class Assignment) |
| 5 |
Decision Tree (ID3 & C4.5 & CART) |
| 6 |
BP Neural Network & Optimization |
| 7 |
Small Project (HR Analytics for Employee Rentension) |
| 8 |
Convolutional Neural Network (CNN) |
| 9 |
Ensemble Learning (RF & Adaboost & GBDT) |
| 10 |
Recurrent Neural Network (RNN/LSTM/GRU) |
| 11 |
Unsupervised Learning (Clustering & PCA) |