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Titlebook: Data Science for Entrepreneurship; Principles and Metho Werner Liebregts,Willem-Jan van den Heuvel,Arjan v Textbook 2023 Springer Nature Sw

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Entrepreneurial Financeum game, agency problems and diverging incentives cloud the relationship between startup investors and entrepreneurs (Fried and Ganor, New York University Law Review 81:967–1025; 2006). This chapter provides an overview of different types of investors that provide financing for innovative (tech) sta
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Introduction to network epidemiologyeal-world problems that can be studied as a cMAB problem, and we will review effective solutions to this problem such as the UCB algorithm, Thompson sampling, and bootstrapped Thompson sampling. We focus on application but provide references for readers interested in the underlying theoretical resul
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Introduction to computational epidemiologywork data, also bridging between both by analyzing signals on graphs. Besides setting the stage for the important theoretical background and concepts, we outline, in particular, the perspective on industrial applications and provide specific examples of the application of the presented methods in re
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Indian Statistical Institute Seriesully compete on such digital platforms. The latter is not so easy, given a number of challenges that digital entrepreneurs typically face when being active on such platforms. Finally, we describe the main features of a digital entrepreneurial ecosystem, in which digital entrepreneurs typically opera
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Computational Flexible Multibody Dynamics product development process of young firms should be complemented with a customer development process. Before a young firm can grow, customers need to be discovered and built. Later, marketing and sales efforts can be optimized using data collected from the firm’s initial customer base. Modificatio
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https://doi.org/10.1007/978-3-031-19554-9Applications of data science in entrepreneurship; Data science for startups; Cyberphysical systems; Dat
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978-3-031-19556-3Springer Nature Switzerland AG 2023
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Werner Liebregts,Willem-Jan van den Heuvel,Arjan vOffers a practical approach to leverage big data and AI for new value creation.Compiles detailed examples and cases on data science and its applications.Provides discussion questions at the end of eac
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