資料科學
Data Science
| 節 | 週二 |
|---|---|
2 09:00–09:50 | 資料科學 ED103 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
今年的資料科學是上學期雲端運算與巨量資料處理的延伸,所以基本的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,接下來會介紹幾個進階機器學習方法。之後課程包含三大主題: 1) Computer Vision (電腦視覺) 2) Natural Language Processing (自然語言處理) 3) Social Network Analysis (社群網路分析) 每個主題會進行大約三週,希望大家有對一些最新技術有深入了解。
Prerequisites: Deep Learning and Programming (C++, JAVA, or Python) *Knowledge of Python will be useful for the assignments
Final Project (in groups): 40% Homework : 60% (6 @ 10% each) Class participation (up to 6 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 | 和平紀念日(放假一次) |
| 第 4 週 | Model Compression [HW2: Model Compression] |
| 第 5 週 | Reinforcement Learning |
| 第 6 週 | Semi-supervised Learning/Few-shot Learning [HW3: FSL] |
| 第 7 週 | Meta Learning |
| 第 8 週 | Computer Vision (I)-Vision Transformer |
| 第 9 週 | Computer Vision (II)-Crowd Estimation [HW4: Crowd Estimation] |
| 第 10 週 | Computer Vision (III)-Domain Adaptation |
| 第 11 週 | Natural Language Processing (I)-Sentiment Analysis |
| 第 12 週 | Natural Language Processing (II)-Headline Generation [HW5: Headline Generation] |
| 第 13 週 | Natural Language Processing (III)-Question Answering |
| 第 14 週 | Social Network Analysis (I)-Network Characteristics |
| 第 15 週 | Social Network Analysis (II)-Anomaly Detection [HW6: Anomaly Detection] |
| 第 16 週 | Social Network Analysis (III)-Viral Marketing |
| 第 17 週 | Final Project Presentation |
| 第 18 週 | Final Project Presentation |
There is no single textbook. However, a couple of books that are useful and helpful are listed below: (1) Introduction to Data Mining, by P.-N. Tan, M. Steinbach, V. Kumar, 2005 (ISBN:0321321367) (2) Doing Data Science, by C. O'Neil and R. Schutt, 2013 (ISBN: 978-1-4493-5865-5) (3) Python for Data Analysis, by W. McKinney, 2012 (ISBN: 978-1-4493-1979-3)
- 地點
- ED-807
- 時間
- EF, every Tuesday
- 聯絡方式
- TEL:(03)571-2121#54530 EMAIL: hhshuai@nycu.edu.tw