Actuaries' Survival Guide: Navigating the Exams as Applications of Data Science

Author:   Ping Wang (St John's University - Tobin College of Business, NY, USA) ,  Fred Szabo (Department of Mathematics, Concordia University, Montreal, Quebec, Canada)
Publisher:   Elsevier Science Publishing Co Inc
Edition:   3rd edition
ISBN:  

9780443154973


Pages:   272
Publication Date:   07 June 2024
Format:   Paperback
Availability:   In stock   Availability explained
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Actuaries' Survival Guide: Navigating the Exams as Applications of Data Science


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Overview

Actuaries' Survival Guide: Navigating the Exams as Applications of Data Science, Third Edition explains what actuaries are, what they do, and where they do it. The book describes exciting combinations of ideas, techniques, and skills involved in their day-to-day work. This edition has been updated to reflect the rise of social networking and the internet, the progress toward a global knowledge-based economy, and the global expansion of the actuarial field that has occurred since the prior edition.

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Author:   Ping Wang (St John's University - Tobin College of Business, NY, USA) ,  Fred Szabo (Department of Mathematics, Concordia University, Montreal, Quebec, Canada)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Edition:   3rd edition
Weight:   0.410kg
ISBN:  

9780443154973


ISBN 10:   044315497
Pages:   272
Publication Date:   07 June 2024
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Ping Wang works at St John's University - Tobin College of Business, NY, USA. Author of: The Linear Algebra Survival Guide, 1st EditionActuaries' Survival Guide, 2nd EditionActuaries' Survival Guide, 1st EditionLinear Algebra: An Introduction using Maple, 1st EditionLinear Algebra: An Introduction using Mathematica, 1st EditionFred E. Szabo is professor in the Department of Mathematics and Statistics at Concordia University in Canada. He completed his undergraduate studies at Oxford University under the guidance of Sir Michael Dummett and received a Ph.D. in mathematics from McGill University under the supervision of Joachim Lambek. After postdoctoral studies at Oxford University and visiting professorships at several European universities, he returned to Concordia University as a faculty member and dean of graduate studies. For more than twenty years, he developed methods for the teaching of mathematics with technology. In 2012 he was honored at the annual Wolfram Technology Conference for his work on ""A New Kind of Learning"" with a Wolfram Innovator Award. He is currently professor and Provost Fellow at Concordia University.

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