Big Data, Big Design : Why Designers Should Care about Artificial Intelligence
Book Details
Format
Paperback / Softback
ISBN-10
1616899158
ISBN-13
9781616899158
Publisher
Princeton Architectural Press
Imprint
Princeton Architectural Press
Country of Manufacture
CN
Country of Publication
GB
Publication Date
Nov 11th, 2021
Print length
176 Pages
Weight
458 grams
Dimensions
17.90 x 21.70 x 1.30 cms
Product Classification:
Industrial / commercial art & designArtificial intelligence
Ksh 3,950.00
Re-Printing
0 in stock
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Quality
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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.
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.
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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