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Big Data, Big Design: Why Designers Should Care about Artificial Intelligence

Big Data, Big Design: Why Designers Should Care about Artificial Intelligence

Helen Armstrong
4/5 ( ratings)
Big Data, Big Design provides designers with the tools they need to harness the potential of machine learning and put it to use for good through thoughtful, human-centered, intentional design.

Enter the world of Machine Learning and Artificial Intelligence through a design lens in this thoughtful handbook of practical skills, technical knowledge, interviews, essays, and theory, written specifically for designers. Gain an understanding of the design opportunities and design biases that arise when using predictive algorithms. Learn how to place design principles and cultural context at the heart of AI and ML through real-life case studies and examples. This portable, accessible guide will give beginners and more advanced AI and ML users the confidence to make reasoned, thoughtful decisions when implementing ML design solutions.
Pages
176
Format
Paperback
Publisher
Princeton Architectural Press
Release
October 19, 2021
ISBN
1616899158
ISBN 13
9781616899158

Big Data, Big Design: Why Designers Should Care about Artificial Intelligence

Helen Armstrong
4/5 ( ratings)
Big Data, Big Design provides designers with the tools they need to harness the potential of machine learning and put it to use for good through thoughtful, human-centered, intentional design.

Enter the world of Machine Learning and Artificial Intelligence through a design lens in this thoughtful handbook of practical skills, technical knowledge, interviews, essays, and theory, written specifically for designers. Gain an understanding of the design opportunities and design biases that arise when using predictive algorithms. Learn how to place design principles and cultural context at the heart of AI and ML through real-life case studies and examples. This portable, accessible guide will give beginners and more advanced AI and ML users the confidence to make reasoned, thoughtful decisions when implementing ML design solutions.
Pages
176
Format
Paperback
Publisher
Princeton Architectural Press
Release
October 19, 2021
ISBN
1616899158
ISBN 13
9781616899158

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