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Mathematical methods in data science
Authors: ---
ISBN: 0443186804 9780443186790 0443186790 9780443186806 Year: 2023 Publisher: Amsterdam, The Netherlands ; Oxford, England ; Cambridge, Massachusetts : Elsevier,

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Abstract

Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability and differential equations. Based on the authors' recently published and previously unpublished results, this book introduces a new approach based on network analysis to integrate big data into the framework of ordinary and partial differential equations for dataanalysis and prediction. With data science being used in virtually every aspect of our society, the book includes examples and problems arising in data science and the clear explanation of advanced mathematical concepts, especially data-driven differential equations, making it accessible to researchers and graduate students in mathematics and data science. -- ǂc Provided by publisher.

The quest for global dominance : transforming global presence into global competitive advantage
Authors: --- ---
ISBN: 0470194405 1119097452 9786611237592 1281237590 0470278447 9780470278444 9781119097457 9780470194409 Year: 2008 Publisher: San Francisco : Jossey-Bass,

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Abstract

Anil K. Gupta, Vijay Govindarajan, and Haiyan Wang are among the most distinguished experts in the field of globalization. In The Quest for Global Dominance they present the lessons from their twenty-year study of over two hundred corporations. They argue that, in order for a company to create and maintain its position as a globally dominant player, executives must ensure that their company leads its industry in the following four essential tasks: Identifying market opportunities worldwide and pursuing them by establishing the necessary presence in all key markets

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