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.
304 pages, 10 Tables, black and white; 16 Line drawings, color; 58 Line drawings, black and white; 8
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2024. gada 6. decembris |
| ISBN13 | 9781032503806 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 266 |
| Izmēri | 150 × 220 × 20 mm · 453 g |
| Valoda | Angļu |
Vairāk no tā paša izdevēja
Skatīt visus Kamusoko, Courage (AI.Geolabs, Machida, Tokyo, Japan) ( piem., Hardcover Book un Paperback Book )