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1: GLMs and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
| 1: GLMs and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit, Michel |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | xvi, 441 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hainaut, Donatien
Trufin, Julien |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] |
| Soggetto non controllato |
Exponential dispersion model
GLM Insurance risk classification Regression analysis Supervised learning |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126842 |
Denuit, Michel
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| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin
| 2: Tree-Based Methods and Extensions / Michel Denuit, Donatien Hainaut, Julien Trufin |
| Autore | Denuit, Michel |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 228 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Hainaut, Donatien
Trufin, Julien |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62J12 - Generalized linear models (logistic models) [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020] 91G05 - Actuarial mathematics [MSC 2020] |
| Soggetto non controllato |
Actuarial modeling
Insurance risk classification Machine learning Supervised learning Tree-based methods for insurance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249059 |
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Denuit, Michel
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An introduction to statistical learning : with Applications in Python / Gareth James ... [et al.]
| An introduction to statistical learning : with Applications in Python / Gareth James ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xv, 60 p. : ill. ; 24 cm |
| Soggetto non controllato |
Data Mining
Inference Python Python software Statistical learning Supervised learning Unsupervsied learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278708 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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An introduction to statistical learning : with applications in R / Gareth James ... [et al.]
| An introduction to statistical learning : with applications in R / Gareth James ... [et al.] |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | New York, : Springer, 2021 |
| Descrizione fisica | xv, 607 p. : ill. ; 25 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62Cxx - Statistical decision theory [MSC 2020] |
| Soggetto non controllato |
Data Mining
Inference R software Statistical learning Supervised learning Unsupervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275551 |
| New York, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Dimensionality Reduction in Data Science / Max Garzon ... [et al.] editors
| Dimensionality Reduction in Data Science / Max Garzon ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xi, 265 p. : ill. ; 24 cm |
| Soggetto non controllato |
Classification/Prediction
Cross-validation DNA hybridization Data Visualization Data science platforms Deep learning/Backpropagation Dimensionality reduction Experimental control Explainable solutions Extreme Dimensionality reduction Geometric methods Independent component analysis Information-theoretic methods Machine learning Molecular Methods No-Free-Lunch (NFL) theorem Regression methods Semi/Unsupervised learning Statistical Methods Supervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277281 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Information Retrieval and Natural Language Processing : A Graph Theory Approach / Sheetal S. Sonawane, Parikshit N. Mahalle, Archana S. Ghotkar
| Information Retrieval and Natural Language Processing : A Graph Theory Approach / Sheetal S. Sonawane, Parikshit N. Mahalle, Archana S. Ghotkar |
| Autore | Sonawane, Sheetal S. |
| Pubbl/distr/stampa | Singapore, : Springer, 2022 |
| Descrizione fisica | xix, 176 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Ghotkar, Archana S.
Mahalle, Parikshit N. |
| Soggetto non controllato |
Data science
Graph Networks Graph methods Graph theory Information retrieval Machine learning Natural Language Processing Supervised learning Text analytics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0278437 |
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Sonawane, Sheetal S.
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| Singapore, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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