Big data, big design: why designers should care about Artificial Intelligence

"Big Data. Big Design. (BDBD) demystifies machine learning (ML) while inspiring designers to harness this technology and establish leadership via thoughtful human-centered design"-- Big Data, Big Design provides designers with the tools they need to harness the potential of machine learnin...

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Bibliographic Details
Other Authors: Armstrong, Helen 1971- (Editor), Dixon, Keetra Dean ca. 20. Jh (Illustrator)
Format: Book
Language:English
Published: Hudson, New York Princeton Architectural Press [2021]
Edition:First edition
Series:Design briefs
Subjects:
Online Access:Inhaltsverzeichnis
Summary:"Big Data. Big Design. (BDBD) demystifies machine learning (ML) while inspiring designers to harness this technology and establish leadership via thoughtful human-centered design"-- 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 (ML) and Artificial Intelligence (AI) 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.
Item Description:Auf dem Umschlag: a designer's guide to AI
Physical Description:176 Seiten Illustrationen
ISBN:9781616899158

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