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Year: 1930 Publisher: Liège : Editions Solédi,
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Year: 1924 Publisher: Paris : Librairie Delagrave,
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Year: 1932 Publisher: New York : Frederick Ungar Publishing Co.,
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Year: 1888 Publisher: [Bruxelles] : [P. Weissenbruch],
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ISBN: 9780262533706 Year: 2014 Publisher: Cambridge : MIT Press,
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On the eve of Google's IPO in 2004, Larry Page and Sergey Brin vowed not to be evil. Today, a growing number of technologists would go further, trying to ensure that their work actively improves people's lives. Technology, so pervasive and ubiquitous, has the capacity to increase stress and suffering; but it also has the less-heralded potential to improve the well-being of individuals, society, and the planet. In this book, Rafael Calvo and Dorian Peters investigate what they term "positive computing" -- the design and development of technology to support psychological well-being and human potential. Calvo and Peters explain that technologists' growing interest in social good is part of a larger public concern about how our digital experience affects our emotions and our quality of life -- which itself reflects an emerging focus on humanistic values in many different disciplines. Synthesizing theory, knowledge, and empirical methodologies from a variety of fields, they offer a rigorous and coherent foundational framework for positive computing. Sidebars by experts from psychology, neuroscience, human--computer interaction, and other disciplines supply essential context. Calvo and Peters examine specific well-being factors, including positive emotions, self-awareness, mindfulness, empathy, and compassion, and explore how technology can support these factors. Finally, they offer suggestions for future research and funding.
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ISBN: 9781999730307 1999730305 Year: 2017 Publisher: [London]: Relativistic,
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Artificial Intelligence (AI) and Machine Learning are now mainstream business tools. They are being applied across many industries to increase profits, reduce costs, save lives and improve customer experiences. Consequently, organisations which understand these tools and know how to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the technical jargon that is often associated with these subjects. It delivers a simple and concise introduction for managers and business people. The focus is very much on practical application, and how to work with technical specialists (data scientists) to maximise the benefits of these technologies.
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Year: 1913 Publisher: Paris : L. Geisler,
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Year: 2006 Publisher: Hoboken KdG.IWT
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