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Outnumbered
From Facebook and Google to Fake News and Filter-bubbles - The Algorithms That Control Our Lives
Buch von David Sumpter
Sprache: Englisch

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Beschreibung
'Fascinating' - Financial TimesAlgorithms are running our society, and as the Cambridge Analytica story has revealed, we don't really know what they are up to.

Our increasing reliance on technology and the internet has opened a window for mathematicians and data researchers to gaze through into our lives. Using the data they are constantly collecting about where we travel, where we shop, what we buy and what interests us, they can begin to predict our daily habits. But how reliable is this data? Without understanding what mathematics can and can't do, it is impossible to get a handle on how it is changing our lives.

In this book, David Sumpter takes an algorithm-strewn journey to the dark side of mathematics. He investigates the equations that analyse us, influence us and will (maybe) become like us, answering questions such as:

- Who are Cambridge Analytica? And what are they doing with our data?
- How does Facebook build a 100-dimensional picture of your personality?
- Are Google algorithms racist and sexist?
- Why do election predictions fail so drastically?
- Are algorithms that are designed to find criminals making terrible mistakes?
- What does the future hold as we relinquish our decision-making to machines?

Featuring interviews with those working at the cutting edge of algorithm research, including Alex Kogan from the Cambridge Analytica story, along with a healthy dose of mathematical self-experiment, Outnumbered explains how mathematics and statistics work in the real world, and what we should and shouldn't worry about.

A lot of people feel outnumbered by algorithms - don't be one of them.
'Fascinating' - Financial TimesAlgorithms are running our society, and as the Cambridge Analytica story has revealed, we don't really know what they are up to.

Our increasing reliance on technology and the internet has opened a window for mathematicians and data researchers to gaze through into our lives. Using the data they are constantly collecting about where we travel, where we shop, what we buy and what interests us, they can begin to predict our daily habits. But how reliable is this data? Without understanding what mathematics can and can't do, it is impossible to get a handle on how it is changing our lives.

In this book, David Sumpter takes an algorithm-strewn journey to the dark side of mathematics. He investigates the equations that analyse us, influence us and will (maybe) become like us, answering questions such as:

- Who are Cambridge Analytica? And what are they doing with our data?
- How does Facebook build a 100-dimensional picture of your personality?
- Are Google algorithms racist and sexist?
- Why do election predictions fail so drastically?
- Are algorithms that are designed to find criminals making terrible mistakes?
- What does the future hold as we relinquish our decision-making to machines?

Featuring interviews with those working at the cutting edge of algorithm research, including Alex Kogan from the Cambridge Analytica story, along with a healthy dose of mathematical self-experiment, Outnumbered explains how mathematics and statistics work in the real world, and what we should and shouldn't worry about.

A lot of people feel outnumbered by algorithms - don't be one of them.
Über den Autor
David Sumpter
Zusammenfassung
Contains interviews with those working at the cutting edge of mathematical research to gain insight into where we are heading in the future in terms of data analysis.
Inhaltsverzeichnis
PART 1: ANALYSING US
Chapter 1: Finding Banksy
Chapter 2: Make Some Noise
Chapter 3: The Principal Components of Friendship
Chapter 4: One Hundred Dimensions of You
Chapter 5: Cambridge Hyperbolytica
Chapter 6: Impossibly Unbiased
Chapter 7: The Data Alchemists

PART 2: INFLUENCING US
Chapter 8: Nate Silver vs the Rest of Us
Chapter 9: We 'Also Liked ' the Internet
Chapter 10: The Popularity Contest
Chapter 11: Bubbling Up
Chapter 12: Football Matters
Chapter 13: Who Reads Fake News?

PART 3: BECOMING US
Chapter 14: Learning to be Sexist
Chapter 15: The Only Thought Between the Decimal
Chapter 16: Kick Your Ass at Space Invaders
Chapter 17: The Bacterial Brain
Chapter 18: Back to Reality

Notes
Acknowledgements
Index
Details
Erscheinungsjahr: 2018
Fachbereich: Populäre Darstellungen
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9781472947413
ISBN-10: 147294741X
Sprache: Englisch
Einband: Gebunden
Autor: Sumpter, David
Hersteller: Bloomsbury Publishing PLC
Maße: 223 x 139 x 30 mm
Von/Mit: David Sumpter
Erscheinungsdatum: 19.04.2018
Gewicht: 0,402 kg
Artikel-ID: 110442927
Über den Autor
David Sumpter
Zusammenfassung
Contains interviews with those working at the cutting edge of mathematical research to gain insight into where we are heading in the future in terms of data analysis.
Inhaltsverzeichnis
PART 1: ANALYSING US
Chapter 1: Finding Banksy
Chapter 2: Make Some Noise
Chapter 3: The Principal Components of Friendship
Chapter 4: One Hundred Dimensions of You
Chapter 5: Cambridge Hyperbolytica
Chapter 6: Impossibly Unbiased
Chapter 7: The Data Alchemists

PART 2: INFLUENCING US
Chapter 8: Nate Silver vs the Rest of Us
Chapter 9: We 'Also Liked ' the Internet
Chapter 10: The Popularity Contest
Chapter 11: Bubbling Up
Chapter 12: Football Matters
Chapter 13: Who Reads Fake News?

PART 3: BECOMING US
Chapter 14: Learning to be Sexist
Chapter 15: The Only Thought Between the Decimal
Chapter 16: Kick Your Ass at Space Invaders
Chapter 17: The Bacterial Brain
Chapter 18: Back to Reality

Notes
Acknowledgements
Index
Details
Erscheinungsjahr: 2018
Fachbereich: Populäre Darstellungen
Genre: Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Buch
Inhalt: Gebunden
ISBN-13: 9781472947413
ISBN-10: 147294741X
Sprache: Englisch
Einband: Gebunden
Autor: Sumpter, David
Hersteller: Bloomsbury Publishing PLC
Maße: 223 x 139 x 30 mm
Von/Mit: David Sumpter
Erscheinungsdatum: 19.04.2018
Gewicht: 0,402 kg
Artikel-ID: 110442927
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