Pastāsti draugiem par šo preci:
Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach Kamusoko, Courage (AI.Geolabs, Machida, Tokyo, Japan)
Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach
Kamusoko, Courage (AI.Geolabs, Machida, Tokyo, Japan)
This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric explainable machine learning approach for obtaining new insights from geospatial data analysis and how they are applied to solve various environmental problems from forestry to climate change.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2026. gada 21. jūnijs |
| ISBN13 | 9781032503813 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 266 |
| Izmēri | 150 × 220 × 10 mm · 520 g |
Vairāk no tā paša izdevēja
Skatīt visus Kamusoko, Courage (AI.Geolabs, Machida, Tokyo, Japan) ( piem., Hardcover Book un Paperback Book )