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Titlebook: Algorithms for a New World; When Big Data and Ma Alfio Quarteroni Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusiv

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发表于 2025-3-21 17:53:12 | 显示全部楼层 |阅读模式
期刊全称Algorithms for a New World
期刊简称When Big Data and Ma
影响因子2023Alfio Quarteroni
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发行地址Opportunities and threats behind machine learning algorithms are analysed from a very original perspective.The author is a leading figure in applied mathematics worldwide.The fusion between data scien
图书封面Titlebook: Algorithms for a New World; When Big Data and Ma Alfio Quarteroni Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusiv
影响因子.Covid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future scenarios...Algorithms, artificial neural networks, and machine learning help us discover the opportunities and pitfalls of a world governed by mathematics and artificial intelligence..
Pindex Book 2022
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发表于 2025-3-21 21:23:47 | 显示全部楼层
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978-3-030-96165-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Freie Berufe und Kundenloyalitätd offices, green parks in bloom without the usual chatter of children. And all of us waiting for the usual afternoon bulletin, with its litany of cold numbers that might either give us some hope or unsettle us further. We suddenly realize that we are cursed by averages, curves and ratios that we wou
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Der Wettbewerb zwischen Business Websturistic spaceships and fearless astronauts created a feeling of omnipotence. Humankind really seemed to have no limits. The conquest of the Moon in 1969 was experienced by everyone as a dream come true. Our satellite, which until then had mainly struck our imagination as the protagonist of romantic
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Vergleichende Politikwissenschaftgorithms and modern supercomputers offer to extract knowledge from it. We mentioned in the previous chapter what extraordinary dimension this phenomenon has assumed and how Big Data motivated the creation of the highly efficient ML algorithms.
发表于 2025-3-23 01:08:24 | 显示全部楼层
https://doi.org/10.1007/978-3-8349-8609-2The question I’d like to answer, not necessarily in this chapter, is the following: ., more precisely with machine learning algorithms?
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