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<p/><br></br><p><b> About the Book </b></p></br></br>"Big Data. Big Design. (BDBD) demystifies machine learning (ML) while inspiring designers to harness this technology and establish leadership via thoughtful human-centered design"--<p/><br></br><p><b> Book Synopsis </b></p></br></br><b><i>Big Data, Big Design</i> 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.</b> <p/>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.<p/><br></br><p><b> Review Quotes </b></p></br></br><br>"Training machines to learn is one of the most critical design challenges of our time. Helen Armstrong's book is an invitation to designers to engage this process in ways that are inclusive, equitable, and creative." <br> - Ellen Lupton, Author of Thinking with Type, <br><br><p/><br></br><p><b> About the Author </b></p></br></br>Helen Armstrong is a professor of graphic design at North Carolina State University in Raleigh, North Carolina. Her previous books include <i>Graphic Design Theory, Digital Design Theory</i>, and <i>Participate</i>. <p/>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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