Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Machine Learning in Finance [[electronic resource] ] : From Theory to Practice / / by Matthew F. Dixon, Igor Halperin, Paul Bilokon
| Machine Learning in Finance [[electronic resource] ] : From Theory to Practice / / by Matthew F. Dixon, Igor Halperin, Paul Bilokon |
| Autore | Dixon Matthew F |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXV, 548 p. 97 illus., 83 illus. in color.) |
| Disciplina | 332.0285554 |
| Soggetto topico |
Statistics
Applied mathematics Engineering mathematics Statistics for Business, Management, Economics, Finance, Insurance Applications of Mathematics Statistics, general |
| ISBN | 3-030-41068-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Probabilistic Modeling -- Chapter 3. Bayesian Regression & Gaussian Processes -- Chapter 4. Feed Forward Neural Networks -- Chapter 5. Interpretability -- Chapter 6. Sequence Modeling -- Chapter 7. Probabilistic Sequence Modeling -- Chapter 8. Advanced Neural Networks -- Chapter 9. Introduction to Reinforcement learning -- Chapter 10. Applications of Reinforcement Learning -- Chapter 11. Inverse Reinforcement Learning and Imitation Learning -- Chapter 12. Frontiers of Machine Learning and Finance. |
| Record Nr. | UNISA-996418260403316 |
Dixon Matthew F
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Machine Learning in Finance : From Theory to Practice / / by Matthew F. Dixon, Igor Halperin, Paul Bilokon
| Machine Learning in Finance : From Theory to Practice / / by Matthew F. Dixon, Igor Halperin, Paul Bilokon |
| Autore | Dixon Matthew F |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXV, 548 p. 97 illus., 83 illus. in color.) |
| Disciplina | 332.0285554 |
| Soggetto topico |
Statistics
Applied mathematics Engineering mathematics Statistics for Business, Management, Economics, Finance, Insurance Applications of Mathematics Statistics, general |
| ISBN |
9783030410681
3030410684 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Probabilistic Modeling -- Chapter 3. Bayesian Regression & Gaussian Processes -- Chapter 4. Feed Forward Neural Networks -- Chapter 5. Interpretability -- Chapter 6. Sequence Modeling -- Chapter 7. Probabilistic Sequence Modeling -- Chapter 8. Advanced Neural Networks -- Chapter 9. Introduction to Reinforcement learning -- Chapter 10. Applications of Reinforcement Learning -- Chapter 11. Inverse Reinforcement Learning and Imitation Learning -- Chapter 12. Frontiers of Machine Learning and Finance. |
| Record Nr. | UNINA-9910483443303321 |
|
Dixon Matthew F
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||