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.
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Helen Armstrong is Director of the MGXD Program and Professor of Graphic & Experience Design at North Carolina State University. Her research focuses on accessible design, digital rights, and machine learning. Her previous books include Graphic Design Theory, Digital Design Theory, and Participate. Armstrong is a past member of the AIGA National Board of Directors, the editorial board of Design and Culture, and a former co-chair of the AIGA Design Educators Community. Her work has been recognized by Print and HOW, and included in numerous publications in the U.S. and the UK. Armstrong is the proud mom of a kid with disabilities and a fierce advocate for designing inclusive, intelligent, interfaces and experiences.
Keetra Dean Dixon is a designer, former professor at RISD, and winner of a US Presidential Award with a permanent design collection at SFMOMA, based on the East Coast and rural Alaska.
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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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