TY - BOOK ID - 101113415 TI - Big data, big design: why designers should care about artificial intelligence PY - 2021 SN - 9781616899158 1616899158 PB - New York Princeton Architectural Press DB - UniCat KW - Computergrafiek KW - Artificiële intelligentie KW - Machinaal leren KW - Product design KW - Design KW - Computer-aided design KW - Designers KW - Artificial intelligence KW - Big data KW - grafisch design KW - 766.02 KW - information design KW - informatiedesign KW - 766.022 KW - artificiële intelligentie KW - grafische vormgeving KW - grafisch ontwerp KW - big data KW - Data sets, Large KW - Large data sets KW - Data sets KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - CAD (Computer-aided design) KW - Computer-assisted design KW - Computer-aided engineering KW - Creation (Literary, artistic, etc.) KW - Commercial products KW - New products KW - Industrial design KW - Data processing KW - Design and construction KW - 72.012.1 KW - Data processing. UR - https://www.unicat.be/uniCat?func=search&query=sysid:101113415 AB - 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. ER -