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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Edité par Springer International Publishing AG, CH, 2022
ISBN 10 : 3031124111 ISBN 13 : 9783031124112
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 36,43
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Ajouter au panierPaperback. Etat : New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
Edité par Springer International Publishing AG, CH, 2022
ISBN 10 : 3031124111 ISBN 13 : 9783031124112
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 40,13
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Ajouter au panierPaperback. Etat : New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 34,78
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Edité par Springer International Publishing AG, CH, 2022
ISBN 10 : 3031124081 ISBN 13 : 9783031124082
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 41,90
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Ajouter au panierHardback. Etat : New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
Vendeur : Basi6 International, Irving, TX, Etats-Unis
EUR 41,68
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Ajouter au panierEtat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 35,82
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 28,38
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EUR 28,89
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 29,29
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Edité par Springer International Publishing AG, CH, 2022
ISBN 10 : 3031124081 ISBN 13 : 9783031124082
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 45,95
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Ajouter au panierHardback. Etat : New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 31,61
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Vendeur : ALLBOOKS1, Direk, SA, Australie
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 53,87
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Vendeur : ALLBOOKS1, Direk, SA, Australie
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 64,89
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Edité par Springer International Publishing AG, CH, 2022
ISBN 10 : 3031124111 ISBN 13 : 9783031124112
Langue: anglais
Vendeur : Rarewaves USA, OSWEGO, IL, Etats-Unis
EUR 70,48
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Ajouter au panierPaperback. Etat : New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
Edité par Springer International Publishing AG, CH, 2022
ISBN 10 : 3031124111 ISBN 13 : 9783031124112
Langue: anglais
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
EUR 72,19
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback. Etat : New. 1st ed. 2023. This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice. Statistical modeling has a wide range of applications, and, depending on the application, the theoretical aspects may be weighted differently: here the main focus is on prediction rather than explanation. Starting with a presentation of state-of-the-art actuarial models, such as generalized linear models, the book then dives into modern machine learning tools such as neural networks and text recognition to improve predictive modeling with complex features. Providing practitioners with detailed guidance on how to apply machine learning methods to real-world data sets, and how to interpret the results without losing sight of the mathematical assumptions on which these methods are based, the book can serve as a modern basis for an actuarial education syllabus.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 70,67
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