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Englisch
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Beschreibung
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.
Algorithms, artificial neural networks, and machine learning help us discover the opportunities and pitfalls of a world governed by mathematics and 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.
Algorithms, artificial neural networks, and machine learning help us discover the opportunities and pitfalls of a world governed by mathematics and artificial intelligence.
Über den Autor
Alfio Quarteroni is an Emeritus Professor at Politecnico di Milano, Milan and at EPFL, Lausanne as well as a senior research fellow at University of Texas, Austin. He is the founder of MOX and co-founder of MOXOFF, a spin-off company at Politecnico di Milano. Quarteroni is a member of several prestigious academies, including the Accademia Nazionale dei Lincei, the European Academy of Sciences, the Academy of Europe, the Lisbon Academy of Sciences, and the Italian Academy of Engineering and Technology. He has authored 25 books and more than 400 research papers. Quarteroni has been honored with numerous awards, including the NASA CFD Award in 1992, the International Galileo Galilei Prize for Sciences in 2015, the ECCOMAS Euler Medal in 2022, the ICIAM Lagrange Prize in 2023, the Blaise Pascal Prize for Mathematics in 2024, the Ritz-Galerkin medal in 2024, the Ralph Kleinman Prize in 2025.
Zusammenfassung
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 science and modelling science is a new still largely unexplored avenue
Inhaltsverzeichnis
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).
Details
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Allgemeines |
| Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xv
61 S. 1 s/w Illustr. 17 farbige Illustr. 61 p. 18 illus. 17 illus. in color. |
| ISBN-13: | 9783030961657 |
| ISBN-10: | 3030961656 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Quarteroni, Alfio |
| Auflage: | 1st edition 2022 |
| Hersteller: |
Springer
Springer International Publishing AG |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 203 x 127 x 5 mm |
| Von/Mit: | Alfio Quarteroni |
| Erscheinungsdatum: | 05.07.2022 |
| Gewicht: | 0,097 kg |