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Algorithms for a New World = When Big Data and Mathematical Models Meet /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Algorithms for a New World/ by Alfio Quarteroni.
Reminder of title:
When Big Data and Mathematical Models Meet /
Author:
Quarteroni, Alfio.
Description:
XV, 61 p. 18 illus., 17 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Data Analysis and Big Data. -
Online resource:
https://doi.org/10.1007/978-3-030-96166-4
ISBN:
9783030961664
Algorithms for a New World = When Big Data and Mathematical Models Meet /
Quarteroni, Alfio.
Algorithms for a New World
When Big Data and Mathematical Models Meet /[electronic resource] :by Alfio Quarteroni. - 1st ed. 2022. - XV, 61 p. 18 illus., 17 illus. in color.online resource.
1 Epidemic -- 2 Retrospective -- 3 Interlude: the revolution that did not happen and the revolution that was unforeseen -- 4 Artificial intelligence, learning computers, artificial neural networks -- 5 A bit of maths (behind artificial intelligence and machine learning) -- 6 BIG DATA - BIG BROTHER (or, on the ethical and moral aspects of artificial intelligence).
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.
ISBN: 9783030961664
Standard No.: 10.1007/978-3-030-96166-4doiSubjects--Topical Terms:
1366136
Data Analysis and Big Data.
LC Class. No.: T57-57.97
Dewey Class. No.: 519
Algorithms for a New World = When Big Data and Mathematical Models Meet /
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1 Epidemic -- 2 Retrospective -- 3 Interlude: the revolution that did not happen and the revolution that was unforeseen -- 4 Artificial intelligence, learning computers, artificial neural networks -- 5 A bit of maths (behind artificial intelligence and machine learning) -- 6 BIG DATA - BIG BROTHER (or, on the ethical and moral aspects of artificial intelligence).
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