Da: Books From California, Simi Valley, CA, U.S.A.
EUR 36,75
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Aggiungi al carrellopaperback. Condizione: Very Good.
ISBN 10: 8868807122 ISBN 13: 9788868807122
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
EUR 29,87
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Aggiungi al carrelloCondizione: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
ISBN 10: 8868807122 ISBN 13: 9788868807122
Da: Basi6 International, Irving, TX, U.S.A.
EUR 29,87
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Aggiungi al carrelloCondizione: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 43,03
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Predicting the Unknown: The History and Future of Data Science and Artificial Intelligence 1.09. Book.
Da: California Books, Miami, FL, U.S.A.
EUR 48,84
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 40,63
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 48,02
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 55,97
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 54,71
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 55,35
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Da: Revaluation Books, Exeter, Regno Unito
EUR 65,40
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Aggiungi al carrelloPaperback. Condizione: Brand New. 281 pages. 9.25x6.10x0.59 inches. In Stock.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 68,73
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Da: Lakeside Books, Benton Harbor, MI, U.S.A.
EUR 39,81
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Aggiungi al carrelloCondizione: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 68,82
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As a society, we're in a constant struggle to control uncertainty and predict the unknown. Quite often, we think of scientific fields and theories as being separate from each other. But a more careful investigation can uncover the common thread that ties many of those together. From ChatGPT, to Amazon's Alexa, to Apple's Siri, data science, and computer science have become part of our lives. In the meantime, the demand for data scientists has grown, as the field has been increasingly called the 'sexiest profession.'This book attempts to specifically cover this gap in literature between data science, machine learning and artificial intelligence (AI). How was uncertainty approached historically, and how has it evolved since What schools of thought exist in philosophy, mathematics, and engineering, and what role did they play in the development of data science It uses the history of data science as a stepping stone to explain what the future might hold.Predicting the Unknown provides the framework that will help you understand where AI is headed, and how to best prepare for the world that's coming in the next few years, both as a society and within a business. It is not technical and avoids equations or technical explanations, yet is written for the intellectually curious reader, and the technical expert interested in the historical details that can help contextualize how we got here.What You'll LearnExplore the bigger picture of data science and see how to best anticipate future changes in that fieldUnderstand machine learning, AI, and data scienceExamine data science and AI through engaging historical and human-centric narrativesWho is This Book ForBusiness leaders and technology enthusiasts who are trying to understand how to think about data science and AI.