This beginner-friendly workshop introduces machine learning and its applications in policy analysis, with guided hands-on coding in R. No prior background in machine learning is required. Participants will learn what machine learning is, the difference between supervised and unsupervised learning, and the types of questions and data for which these approaches are most useful. Through step-by-step coding with example data, participants will apply several widely used machine learning techniques in R. Basic familiarity with R is recommended.
| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Stata for Social Science Research | 0 | 6.1 | 08-10-2026 |
| 2 | How QGIS and R work together | 0 | 3.36 | 13-10-2026 |
| 3 | Using R with ArcGIS Pro | 0 | 6.5 | 14-10-2026 |
| 4 | heise-Angebot: iX-Workshop: Mehr Tempo beim Coding – mit KI-Assistenten effizient programmieren | 0 | 16.47 | 25-09-2026 |
| 5 | Research Data Stewardship Series: Data Organization | 0 | 4.6 | 15-10-2026 |
| 6 | Autonomous AI Agents: Architecture and Risk Mitigation | 0 | 6.94 | 10-09-2026 |
| 7 | О моделировании гидрологических процессов методами машинного обучения | 0 | 17.74 | 23-09-2026 |
| 8 | clim4health: an R package to harmonise climate datasets for health impact studies [version 1; peer review: awaiting peer review] | 0 | 6.83 | 22-09-2026 |
| 9 | 30 Minutes Towards Better Bibliographies and Footnotes! (online) | 0 | 8.51 | 09-10-2026 |
| 10 | Using ModelBuilder in ArcGIS Pro | 0 | 5.35 | 08-10-2026 |