Name
Title | ||
|---|---|---|
Deeper Learning By Doing: Integrating Hands-On Research Projects Into A Machine Learning Course. |
Abstract | ||
|---|---|---|
Machine learning has seen a vast increase of interest in recent years, along with an abundance of learning resources. While conventional lectures provide students with important information and knowledge, we also believe that additional project-based learning components can motivate students to engage in topics more deeply. In addition to incorporating project-based learning in our courses, we aim to develop project-based learning components aligned with real-world tasks, including experimental design and execution, report writing, oral presentation, and peer-reviewing. This paper describes the organization of our project-based machine learning courses with a particular emphasis on the class project components and shares our resources with instructors who would like to include similar elements in their courses. |
Year | Venue | DocType |
|---|---|---|
2021 | Teaching Machine Learning Workshop | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sebastian Raschka | 1 | 27 | 5.11 |