Librería: medimops, Berlin, Alemania
EUR 24,77
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Añadir al carritoCondición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 27,08
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 29,55
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Publicado por Springer International Publishing AG, CH, 2022
ISBN 10: 3031124111 ISBN 13: 9783031124112
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 36,74
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Añadir al carritoPaperback. Condición: 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.
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 42,34
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Añadir al carritoCondición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Publicado por Springer International Publishing AG, CH, 2022
ISBN 10: 3031124111 ISBN 13: 9783031124112
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 40,79
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Añadir al carritoPaperback. Condición: 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.
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 43,91
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Añadir al carritoCondición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 44,95
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Añadir al carritoCondición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Publicado por Springer International Publishing AG, CH, 2022
ISBN 10: 3031124081 ISBN 13: 9783031124082
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 42,25
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Añadir al carritoHardback. Condición: 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.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 35,18
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Librería: Majestic Books, Hounslow, Reino Unido
EUR 35,05
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 28,62
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 29,09
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Springer International Publishing AG, CH, 2022
ISBN 10: 3031124081 ISBN 13: 9783031124082
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 46,69
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Añadir al carritoHardback. Condición: 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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 31,88
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 32,09
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 36,59
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 36,38
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 42,34
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 54,32
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Librería: California Books, Miami, FL, Estados Unidos de America
EUR 55,29
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Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 43,05
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 65,99
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Publicado por Springer International Publishing AG, CH, 2022
ISBN 10: 3031124111 ISBN 13: 9783031124112
Idioma: Inglés
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 71,68
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Añadir al carritoPaperback. Condición: 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.
Publicado por Springer International Publishing AG, CH, 2022
ISBN 10: 3031124111 ISBN 13: 9783031124112
Idioma: Inglés
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 73,60
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Añadir al carritoPaperback. Condición: 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.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 72,95
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 77,49
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Añadir al carritoPaperback. Condición: Brand New. 617 pages. 9.25x6.10x1.22 inches. In Stock.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 93,12
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Añadir al carritoHardcover. Condición: Brand New. 617 pages. 9.25x6.10x1.61 inches. In Stock.
Publicado por Springer International Publishing, 2022
ISBN 10: 3031124111 ISBN 13: 9783031124112
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 39,60
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is open access, which means that you have free and unlimited accessUniquely combines classical statistical modeling with modern machine learning methodsDiscusses the state-of-the-art in predictive modeling for actuarial work.
Publicado por Springer International Publishing, 2022
ISBN 10: 3031124081 ISBN 13: 9783031124082
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 48,37
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is open access, which means that you have free and unlimited accessUniquely combines classical statistical modeling with modern machine learning methodsDiscusses the state-of-the-art in predictive modeling for actuarial work.