資料科學
Data Science
| 節 | 週二 |
|---|---|
3 10:10–11:00 | 資料科學 ED103 3 節連堂 |
4 11:10–12:00 | |
N 12:20–13:10 |
* 根據陽明交大上課時間表所列
今年的資料科學基本的deep learning不會教了,像是DNN、CNN、RNN、Transformer、GNN等等,會預設大家都已經會了。所以希望來修課的同學都已經修過了,這樣可以較深入探討一些新的技術。這學期一開始會教Data crawling (怎麼從網路上爬資料),讓大家專題可以不用受到現有資料集的限制,之後課程包含兩大主題: 1) Natural Language Processing (自然語言處理) 2) Computer Vision (電腦視覺) 希望大家有對一些最新技術有深入了解。
Prerequisites: Deep Learning and Programming (Python+PyTorch)
Homework : 96% (6 @ 16% each) Class participation (up to 4 points)
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction to Data Science (加簽事宜) |
| 第 2 週 | Data Crawling [HW1: Crawling Releases] |
| 第 3 週 | Natural Language Processing (I)-Introduction to Natural Language Processing |
| 第 4 週 | Natural Language Processing (II)-Large Language Models and Prompt Engineering [HW2: Prompt Engineering] |
| 第 5 週 | Natural Language Processing (III)-Few-shot Learning |
| 第 6 週 | Natural Language Processing (V)-Natural Language Generation [HW3: Headline Generation] |
| 第 7 週 | Natural Language Processing (IV)-Benchmark and Evaluations |
| 第 8 週 | Natural Language Processing (VI)-Model Efficiency |
| 第 9 週 | Computer Vision (I)-Introduction to ViT [HW4: Model Compression] |
| 第 10 週 | Computer Vision (II)-Introduction to Image Generation |
| 第 11 週 | Computer Vision (III)-Generative Adversarial Nets |
| 第 12 週 | Computer Vision (IV)-Conditional Generation and Evaluations [HW5: Makeup Transfer] |
| 第 13 週 | Computer Vision (V)-Diffusion Models |
| 第 14 週 | Computer Vision (VI)-Advanced Image Generation and Other Models |
| 第 15 週 | Computer Vision (VII)-Semantic Segmentation [HW6: Image Segmentation] |
| 第 16 週 | Disinformation and Adversarial Attack |
There is no single textbook. However, a couple of books that are useful and helpful are listed below: (1) Doing Data Science, by C. O'Neil and R. Schutt, 2013 (ISBN: 978-1-4493-5865-5) (2) Python for Data Analysis, by W. McKinney, 2012 (ISBN: 978-1-4493-1979-3) (3) Learn Generative AI with PyTorch https://www.manning.com/books/learn-generative-ai-with-pytorch
- 地點
- ED-807
- 時間
- EF, every Monday
- 聯絡方式
- TEL:(03)571-2121#54530 EMAIL: hhshuai@nycu.edu.tw