智慧數據分析
Smart Data Analytics
| 節 | 週一 |
|---|---|
2 09:00–09:50 | 智慧數據分析 M102 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
The evolution from analogue to digital technologies continues to dominate the attention of decision makers today. Many tools in industrial production processes have been automated or replaced by highly complex mechanisms with pre‐programmed decision making. The change to digital modes of operations increasingly determines the lives of individuals and does so in increasingly unexpected ways. The SDA course presents tools and concepts for unstructured data with a strong focus on applications and implementations. It presents the decision analytics in a way that is understandable for non‐mathematicians and practitioners who are confronted with day to day number crunching statistical data analysis. All practical examples may be recalculated and modified: software and Quantlets are in www.quantlet.de. The SDA course endows the practitioner with ready to use practical tools for smart data analytics from quantinar.com The students get insight into the area of modern internet based Computational Statistics Methods. Practically relevant knowledge on methods, data forms and Gestalt will be trained. The use of GITHUB and network techniques will be taught. Direct computer oriented knowledge and possibilities of empirical research will be shown. We present hands on practical examples from finance, Crypto currencies and network analysis.
Multivariate Statistical Analysis, basic understanding of statistics, mathematics and finance
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction |
| 第 2 週 | Unit_1 „Fitting an Elephant“ LDA on text corpus Text mining on DPs |
| 第 3 週 | Unit_1 „Fitting an Elephant“ LDA on text corpus Text mining on DPs |
| 第 4 週 | FRM Financial Risk Meter Word2Vec GloVe BERT Word Embeddings t-SNE and UMAP VizTech |
| 第 5 週 | FRM Financial Risk Meter Word2Vec GloVe BERT Word Embeddings t-SNE and UMAP VizTech |
| 第 6 週 | Understanding Cryptocurrencies NFTs and VizTech MST Minimum Spanning Tree LLE Local Linear Embedding |
| 第 7 週 | Understanding Cryptocurrencies NFTs and VizTech MST Minimum Spanning Tree LLE Local Linear Embedding |
| 第 8 週 | Machine learning tools Network Centrality |
| 第 9 週 | Machine learning tools Network Centrality |
| 第 10 週 | (Generalised) Random Forests Neural Networks |
| 第 11 週 | (Generalised) Random Forests Neural Networks |
| 第 12 週 | LSTM Long Short Term Memory ICA Independent Component Analysis |
| 第 13 週 | LSTM Long Short Term Memory ICA Independent Component Analysis |
| 第 14 週 | CRIX CRypto currency IndeX |
| 第 15 週 | CRIX CRypto currency IndeX |
| 第 16 週 | Final exam |
- 地點
- By appointment
- 時間
- By appointment
- 聯絡方式
- Wolfgang Karl Härdle Humboldt-Universität zu Berlin haerdle@hu-berlin.de