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Big data for insurance companies

Author: Marine Corlosquet-Habart; Jacques Janssen
Publisher: London, UK : ISTE, Ltd. ; Hoboken NJ : John Wiley & Sons, Inc., 2018.
Series: Innovation, entrepreneurship and management series., Big data, artificial intelligence and data analysis set ;, v. 1.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This book will be a "must" for people who want good knowledge of big data concepts and their applications in the real world, particularly in the field of insurance. It will be useful to people working in finance and to masters students using big data tools. The authors present the bases of big data: data analysis methods, learning processes, application to insurance and position within the insurance market.  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Big data for insurance companies.
London, UK : ISTE, Ltd. ; Hoboken NJ : John Wiley & Sons, Inc., 2018
(OCoLC)958481241
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Marine Corlosquet-Habart; Jacques Janssen
ISBN: 9781119489368 1119489369 9781119489290 1119489296
OCLC Number: 1020492658
Description: 1 online resource (xv, 166 pages) : illustrations.
Contents: Introduction to Big Data and Its Applications in Insurance / Romain Billot, Cécile Bothorel, Philippe Lenca --
From Conventional Data Analysis Methods to Big Data Analytics / Gilbert Saporta --
Statistical Learning Methods / Franck Vermet --
Current Vision and Market Prospective / Florence Picard --
Using Big Data in Insurance / Emmanuel Berthelé.
Series Title: Innovation, entrepreneurship and management series., Big data, artificial intelligence and data analysis set ;, v. 1.
Responsibility: edited by Marine Corlosquet-Habart, Jacques Janssen.

Abstract:

This book will be a "must" for people who want good knowledge of big data concepts and their applications in the real world, particularly in the field of insurance. It will be useful to people working in finance and to masters students using big data tools. The authors present the bases of big data: data analysis methods, learning processes, application to insurance and position within the insurance market. Individual chapters a will be written by well-known authors in this field.

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