Instructor: Qili Gao(高琦丽) Wei Wang(王为)
Email: qlgao@szu.edu.cn
Room: Huixing Building-Classroom 2
Time: 周五 11-13节
Credits: 3/48 课时
Table of Contents
Grade breakdown
| Requirements |
Percent |
Points |
Note |
| Mid-term Individual Pre |
10% |
100 |
|
| Final Group Pre |
90% |
100 |
|
Class Schedule
| Week |
Topic |
| 1 |
Introduction to Machine Learning & Linear Regression |
| 2 |
Logistic Regression |
| 3 |
Multi-Classification & Model Evaluation |
| 4 |
Decision Tree (ID3 & C4.5 & CART) |
| 5 |
BP Neural Network & Optimization |
| 6 |
Convolutional Neural Network (CNN) |
| 7 |
Recurrent Neural Network (RNN/LSTM/GRU) |
| 8 |
Mid-term Individual Pre |