Librería:
Books Revisited, Saint Cloud, MN, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Vendedor de AbeBooks desde 28 de mayo de 2003
Paperback, minor wear, binding tight and pages bright, a nice copy. N° de ref. del artículo 300175
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.
Acerca del autor:
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).
Título: Big Data Big Design: Why Designers Should ...
Editorial: Princeton Architectural Press
Año de publicación: 2021
Encuadernación: Paperback
Ilustrador: Dixon, Keetra Dean
Condición: Very good