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Synopsis
Big Data Big Design defines and explores what every designer needs to know about artificial intelligence (AI) and machine learning (ML), all the while inspiring designers to harness this technology and establish leadership via thoughtful, human-centered design. It’s not just about the algorithms, it’s about what we do with the data once received. Ellen lupton says, “ Important and accessible!” Readers will explore the principles and cultural context of Ai and ML, as well as gain an understanding of the design opportunities and pitfalls that arise as designers incorporate predictive algorithms into their practice. Designers will walk away from this portable, friendly book inspired by practical and theoretical knowledge that will allow them to make thoughtful decisions as this technology unfolds.
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About the Author
Helen Armstrong views design from across the spectrum as a designer, educator, and researcher. She is an associate professor of graphic design at North Carolina State University. In addition to teaching, she wrote Graphic Design Theory: Readings from the Field (Princeton Architectural Press, 2009) and Digital Design Theory: Readings from the Field (Princeton Architectural Press, 2016) and co-wrote, with Zvezdana Stojmirovic, Participate: Designing with User-Generated Content (Princeton Architectural Press, 2011).
From the Back Cover
Big Data Big Design defines and explores what every designer needs to know about artificial intelligence (AI) and machine learning (ML), all the while inspiring designers to harness this technology and establish leadership via thoughtful, human-centered design. It’s not just about the algorithms, it’s about what we do with the data once received. Ellen lupton says, “ Important and accessible!” Readers will explore the principles and cultural context of Ai and ML, as well as gain an understanding of the design opportunities and pitfalls that arise as designers incorporate predictive algorithms into their practice. Designers will walk away from this portable, friendly book inspired by practical and theoretical knowledge that will allow them to make thoughtful decisions as this technology unfolds.
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Big Data Big Design: Why Designers Should Care about Artificial Intelligence.
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Princeton Architectural Press, 2021
ISBN 10: 1616899158
ISBN 13: 9781616899158
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Big Data Big Design: Why Designers Should Care about Artificial Intelligence
Published by
Princeton Architectural Press, 2021
ISBN 10: 1616899158
ISBN 13: 9781616899158
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Big Data Big Design: Why Designers Should Care about Artificial Intelligence
Published by
Princeton Architectural Press, 2021
ISBN 10: 1616899158
ISBN 13: 9781616899158
Used
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Seller: Bookoutlet1, Easley, SC, U.S.A.
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Condition: Good. Dixon, Keetra Dean (illustrator). Book is readable with typical wear and creases. Has a publisher remainder mark. paperback Used - Good 2021. Seller Inventory # YV-033394
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Big Data, Big Design: Why Designers Should Care about Artificial Intelligence
Published by
Princeton Architectural Press, 2021
ISBN 10: 1616899158
ISBN 13: 9781616899158
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Big Data, Big Design (Paperback)
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Princeton Architectural Press, New York, 2021
ISBN 10: 1616899158
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Paperback. Condition: new. Dixon, Keetra Dean (illustrator). Paperback. Big Data, Big Design defines and explores what every designer needs to know about artificial intelligence (AI) and machine learning (ML), all the while inspiring designers to harness this technology and establish leadership via thoughtful, human-centered design. It's not just about the algorithms, it's about what we do with the data once received. Ellen lupton says, Important and accessible Readers will explore the principles and cultural context of Ai and ML, as well as gain an understanding of the design opportunities and pitfalls that arise as designers incorporate predictive algorithms into their practice. Designers will walk away from this portable, friendly book inspired by practical and theoretical knowledge that will allow them to make thoughtful decisions as this technology unfolds. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781616899158
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Big Data, Big Design
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ISBN 10: 1616899158
ISBN 13: 9781616899158
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Paperback. Condition: New. Dixon, Keetra Dean (illustrator). Big Data Big Design defines and explores what every designer needs to know about artificial intelligence (AI) and machine learning (ML), all the while inspiring designers to harness this technology and establish leadership via thoughtful, human-centered design. It's not just about the algorithms, it's about what we do with the data once received. Ellen lupton says, " Important and accessible!" Readers will explore the principles and cultural context of Ai and ML, as well as gain an understanding of the design opportunities and pitfalls that arise as designers incorporate predictive algorithms into their practice. Designers will walk away from this portable, friendly book inspired by practical and theoretical knowledge that will allow them to make thoughtful decisions as this technology unfolds. Seller Inventory # LU-9781616899158
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Big Data, Big Design: Why Designers Should Care about Artificial Intelligence
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ISBN 10: 1616899158
ISBN 13: 9781616899158
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Big Data, Big Design: Why Designers Should Care about Artificial Intelligence
Published by
Princeton Architectural Press, 2021
ISBN 10: 1616899158
ISBN 13: 9781616899158
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Big Data Big Design: Why Designers Should Care about Artificial Intelligence
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Princeton Architectural Press, 2021
ISBN 10: 1616899158
ISBN 13: 9781616899158
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Big Data, Big Design
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Kartoniert / Broschiert. Condition: New. Dixon, Keetra Dean (illustrator). 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.Über den AutorrnrnHelen Armstrong views d. Seller Inventory # 441482841
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