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.
表中的内容
Preface
Chapter 1: Introduction to Big Data and Application for insurance
Chapter 2: Conventional data analysis methods to Big Data
Chapter 3: statistical learning methods used in Big Data
Chapter 4: Current and prospective vision of the market
Chapter 5: Using Big Data Insurance
Chapter 6: Privacy of individuals and societies: the algorithmistes or certification of the loyalty of the use of data
Conclusion
Bibliography
关于作者
Marine Corlosquet-Habart and Jacques Janssen
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