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Titlebook: Statistics, New Empiricism and Society in the Era of Big Data; Giuseppe Arbia Book 2021 The Author(s), under exclusive license to Springer

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樓主: deferential
21#
發(fā)表于 2025-3-25 04:05:58 | 只看該作者
22#
發(fā)表于 2025-3-25 08:48:56 | 只看該作者
2191-544X arious case studies.This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big Data and its unique characteristics in a non-technical and easy-to-follow way. Moreover, it discusses critical issues and problems related to the Big Data revol
23#
發(fā)表于 2025-3-25 13:52:34 | 只看該作者
Statistics and Empirical Knowledge,ves to review some epistemological ideas which appeared in the literature in the last century and to clarify how they can be adopted in the everyday life using Big Data. The end of the chapter is devoted to a praise of “simplicity” as the only way out of the world complexity and the Big Data invasion.
24#
發(fā)表于 2025-3-25 17:24:41 | 只看該作者
Book 2021istics in a non-technical and easy-to-follow way. Moreover, it discusses critical issues and problems related to the Big Data revolution and their implications for both Statistics as a discipline and for our everyday lives...The author identifies various problems and limitations in the quantitative
25#
發(fā)表于 2025-3-25 21:56:39 | 只看該作者
,What Do We Mean by the Term “Big Data”?,e current problems, could also suggest new possibilities for future applications. The chapter also contains a description of Big Data as a new asset of firms due to their ability to generate value and concludes reviewing some of the many definitions of Big Data appearing in the literature.
26#
發(fā)表于 2025-3-26 03:48:34 | 只看該作者
Book 2021 epistemological aspects of data-based knowledge and ethical aspects of the use of Big Data, while also addressing paradigmatic cases such as Cambridge Analytica and the use of data from social networks to influence election outcomes..
27#
發(fā)表于 2025-3-26 05:27:33 | 只看該作者
28#
發(fā)表于 2025-3-26 09:33:38 | 只看該作者
Giuseppe Arbiamethods.Places emphasis on efficient methods for keyword spo“Phonetic Search Methods for Large Databases” focuses on Keyword Spotting (KWS) within large speech databases. The brief will begin by outlining the challenges associated with Keyword Spotting within large speech databases using dynamic key
29#
發(fā)表于 2025-3-26 14:47:26 | 只看該作者
Giuseppe Arbiahallenges associated with Keyword Spotting within large speech databases using dynamic keyword vocabularies. It will then continue by highlighting the various market segments in need of KWS solutions, as well as, the specific requirements of each market segment. The work also includes a detailed des
30#
發(fā)表于 2025-3-26 19:55:11 | 只看該作者
Giuseppe Arbia für die individuelle Therapie und übungsanregungen.In der NWelche Therapiem?glichkeiten bietet die moderne Logop?die für Kinder mit Dyslalien? Dieses Buch informiert praxisnah und professionell über alle Aspekte, die Sie als Logop?din interessieren: *Physiologie und Pathologie der Lautbildung, *Dur
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