Introduction to Environmental Data Science

Introduction to Environmental Data Science

Hsieh, William W.

Cambridge University Press

03/2023

647

Dura

Inglês

9781107065550

15 a 20 dias

Descrição não disponível.
1. Introduction; 2. Basics; 3. Probability distributions; 4. Statistical inference; 5. Linear regression; 6. Neural networks; 7. Nonlinear optimization; 8. Learning and generalization; 9. Principal components and canonical correlation; 10. Unsupervised learning; 11. Time series; 12. Classification; 13. Kernel methods; 14. Decision trees, random forests and boosting; 15. Deep learning; 16. Forecast verification and post-processing; 17. Merging of machine learning and physics; Appendices; References; Index.