COMPUTERS / Data Processing
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Data Paradoxes
The Politics of Intensified Data Sourcing in Contemporary Healthcare
ISBN: 9780262545419
Why healthcare cannot—and should not—become data-driven, despite the many promises of intensified data sourcing.
Beyond Data
Reclaiming Human Rights at the Dawn of the Metaverse
ISBN: 9780262047821
Why laws focused on data cannot effectively protect people—and how an approach centered on human rights offers the best hope for preserving human dignity and autonomy in a cyberphysical world.
The Alienation of Fact
Digital Educational Privatization, AI, and the False Promise of Bodies and Numbers
ISBN: 9780262544368
An investigation of the role of educational privatization and technology in the crises of truth and agency.
There Are No Facts
Attentive Algorithms, Extractive Data Practices, and the Quantification of Everyday Life
ISBN: 9780262047470
The entanglements of people and data, code and space, knowledge and power: how data and algorithms shape the world—and shape us within that world.
Digital Oil
Machineries of Knowing
ISBN: 9780262544672
How is digitalization of the offshore oil industry fundamentally changing how we understand work and ways of knowing?
Everyday Adventures with Unruly Data
Everyday Adventures with Unruly Data
ISBN: 9780262544405
Paired informal and scholarly essays show how everyday events reveal fundamental concepts of data, including its creation, aggregation, management, and use.
Dataset Shift in Machine Learning
Dataset Shift in Machine Learning
ISBN: 9780262545877
An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions.
Human-Centered Data Science
An Introduction
ISBN: 9780262543217
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.
Building the New Economy
Data as Capital
ISBN: 9780262543156
How to empower people and communities with user-centric data ownership, transparent and accountable algorithms, and secure digital transaction systems.
Data Science
ISBN: 9780262535434
A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.
Data Paradoxes
The Politics of Intensified Data Sourcing in Contemporary Healthcare
ISBN: 9780262545419
Why healthcare cannot—and should not—become data-driven, despite the many promises of intensified data sourcing.
Beyond Data
Reclaiming Human Rights at the Dawn of the Metaverse
ISBN: 9780262047821
Why laws focused on data cannot effectively protect people—and how an approach centered on human rights offers the best hope for preserving human dignity and autonomy in a cyberphysical world.
The Alienation of Fact
Digital Educational Privatization, AI, and the False Promise of Bodies and Numbers
ISBN: 9780262544368
An investigation of the role of educational privatization and technology in the crises of truth and agency.
There Are No Facts
Attentive Algorithms, Extractive Data Practices, and the Quantification of Everyday Life
ISBN: 9780262047470
The entanglements of people and data, code and space, knowledge and power: how data and algorithms shape the world—and shape us within that world.
Digital Oil
Machineries of Knowing
ISBN: 9780262544672
How is digitalization of the offshore oil industry fundamentally changing how we understand work and ways of knowing?
Everyday Adventures with Unruly Data
Everyday Adventures with Unruly Data
ISBN: 9780262544405
Paired informal and scholarly essays show how everyday events reveal fundamental concepts of data, including its creation, aggregation, management, and use.
Dataset Shift in Machine Learning
Dataset Shift in Machine Learning
ISBN: 9780262545877
An overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions.
Human-Centered Data Science
An Introduction
ISBN: 9780262543217
Best practices for addressing the bias and inequality that may result from the automated collection, analysis, and distribution of large datasets.
Building the New Economy
Data as Capital
ISBN: 9780262543156
How to empower people and communities with user-centric data ownership, transparent and accountable algorithms, and secure digital transaction systems.
Data Science
ISBN: 9780262535434
A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.