Algorithms for a New World

Algorithms for a New World
Author: Alfio Quarteroni
Publisher: Springer Nature
Total Pages: 68
Release: 2022-07-04
Genre: Mathematics
ISBN: 3030961664
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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 for a New World
Language: en
Pages: 68

Algorithms for a New World

Authors: Alfio Quarteroni
Categories: Mathematics
Type: BOOK - Published: 2022-07-04 - Publisher: Springer Nature

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Covid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future scenarios. Algorithms, a
Automate This
Language: en
Pages: 259

Automate This

Authors: Christopher Steiner
Categories: Business & Economics
Type: BOOK - Published: 2012-08-30 - Publisher: Penguin

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The rousing story of the last gasp of human agency and how today’s best and brightest minds are endeavoring to put an end to it. It used to be that to diagnos
Hello World
Language: en
Pages: 0

Hello World

Authors: Hannah Fry
Categories: Computers
Type: BOOK - Published: 2019 - Publisher: Black Swan Books, Limited

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_______________ 'One of the best books yet written on data and algorithms. . .deserves a place on the bestseller charts.' (The Times) You are accused of a crime
Real-World Algorithms
Language: en
Pages: 527

Real-World Algorithms

Authors: Panos Louridas
Categories: Computers
Type: BOOK - Published: 2017-03-17 - Publisher: MIT Press

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An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems. Algorith
The Alignment Problem: Machine Learning and Human Values
Language: en
Pages: 459

The Alignment Problem: Machine Learning and Human Values

Authors: Brian Christian
Categories: Science
Type: BOOK - Published: 2020-10-06 - Publisher: W. W. Norton & Company

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A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, traine