377 rezultatov
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Statistical Foundations, Reasoning and Inference(2021) KAUERMANN, GORAN,KUCHENHOFF, HELMUT,HEUMANN, CHRISTIANThis textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics and data science.Vezava: Trda141,74 €
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AI in Manufacturing and Green Technology(2020)This book focuses on making the environment sustainable by employing engineering aspects and green computing through concepts of modern education and solutions. It visualizes the potential of artificial intelligence in manufacturing and green technology,Vezava: Trda93,02 €
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Machines Behaving Badly(2022) WALSH, TOBYToby Walsh explores how AI is here to stay and although it may not be the stuff of science fiction, but it will undoubtedly change the future of the human race, for better or worse.Vezava: Trda27,10 €
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Sentiment Analysis(2020) LIU, BING (UNIVERSITY OF ILLINOIS, CHICAGO)Sentiment analysis is the computational study of people's opinions, emotions, and attitudes. This comprehensive introduction covers all core areas useful for researchers and practitioners in natural language processing, computer science, management sciencVezava: Trda113,63 €
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Algorithms and Subjectivity(2022) FISHER, ERAN (THE OPEN UNIVERSITY, ISRAEL)In this thought-provoking volume, Eran Fisher interrogates the relationship between algorithms as epistemic devices and modern notions of subjectivity.Vezava: Trda88,19 €
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Framers(2022) CUKIER, KENNETH,MAYER-SCHOENBERGER, VIKTOR,VERICOURT, FRANCIS DEVezava: Mehka14,90 €
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Future of Digital Data, Heritage and Curation(2021) CAMERON, FIONA R.The Future of Digital Data, Heritage and Curation critiques digital cultural heritage concepts, their application to data and develops new theories, curatorial practices and a more-than human museology for a contemporary and future world.Vezava: Mehka71,65 €
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Communicating with Data(2021) ALLCHIN, CARLWith this practical book, subject matter experts will learn ways to develop strong, persuasive points when presenting data to different groups in their organizations.Vezava: Mehka80,05 €
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Big Data(2019) SARANGI, SASWAT,SHARMA, PANKAJBig Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terrabytes that will continue to shape our lives in ways imagined and unimagined.Vezava: Mehka73,49 €
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How AI Is Transforming the Organization(2020) REVIEW, MIT SLOAN MANAGEMENT (PAUL MICHELMAN)Vezava: Mehka31,17 €
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Machine Learning Fundamentals(2021) JIANG, HUI (YORK UNIVERSITY, TORONTO)This lucid and coherent introduction to supervised machine learning presents core concepts in a concise, logical and easy-to-follow way for readers with some mathematical preparation but no prior exposure to machine learning. Coverage includes widely usedVezava: Mehka76,33 €
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AI Ethics(2020) COECKELBERGH, MARK (PROFESSOR OF PHILOSOPHY OF MEDIA AND TECHNOLOGY, UNIVERSITY OF VIENNA)An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions.Vezava: Mehka22,64 €
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MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence(2017) KIM PHILVezava: Trda83,95 €
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