ISBN: 9783319974354 - artificial intelligence for business (25 risultati)

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  • Lingua: Inglese

    Editore: Springer (edition 1st ed. 2019), 2018

    3319974351 / 9783319974354

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    Paperback. Condizione: Very Good. 1st ed. 2019. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    paperback. Condizione: Very Good.

  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    paperback. Condizione: Good. Book is slightly bending/warping. Otherwise book shows minimal/no wear. Pages are clean, text and pictures are intact and unmarred.

  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    Da: California Books, Miami, FL, U.S.A.California Books

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  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections

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    Condizione: New. In English.

  • Lingua: Inglese

    Editore: Springer International Publishing AG, CH, 2018

    3319974351 / 9783319974354

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    Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA

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    Paperback. Condizione: New. 2019 ed. This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.…

  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    Condizione: As New. Unread book in perfect condition.

  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.

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  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    Da: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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  • Lingua: Inglese

    Editore: Springer Verlag, 2018

    3319974351 / 9783319974354

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    Paperback. Condizione: Brand New. 96 pages. 9.25x6.10x0.20 inches. In Stock.

  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    EUR 101,46

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    Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.…

  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    Da: Buchpark, Trebbin, GermaniaBuchpark

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    Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.…

  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    Taschenbuch. Condizione: Neu. Artificial Intelligence for Business | Rajendra Akerkar | Taschenbuch | xi | Englisch | 2018 | Springer | EAN 9783319974354 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore

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    EUR 147,01

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    Condizione: New.

  • Lingua: Inglese

    Editore: Springer International Publishing AG, CH, 2018

    3319974351 / 9783319974354

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    Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK

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    EUR 111,01

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    Paperback. Condizione: New. 2019 ed. This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.…

  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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    EUR 70,24

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    Condizione: new. Questo è un articolo print on demand.

  • Lingua: Inglese

    Editore: Springer 2018-08, 2018

    3319974351 / 9783319974354

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    PF. Condizione: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

  • Lingua: Inglese

    Editore: Springer International Publishing, Springer Nature Switzerland Aug 2018, 2018

    3319974351 / 9783319974354

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes. 96 pp. Englisch.…

  • Lingua: Inglese

    Editore: Springer International Publishing, 2018

    3319974351 / 9783319974354

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Offers an overview of the most popular artificial intelligence techniques used in businessExplains how to select and execute artificial intelligence procedures for business purposes including predictions, segmentation and natural language proc.…

  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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  • Lingua: Inglese

    Editore: Springer, 2018

    3319974351 / 9783319974354

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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  • Lingua: Inglese

    Editore: Springer, Springer Aug 2018, 2018

    3319974351 / 9783319974354

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book offers a practical guide to artificial intelligence (AI) techniques that are used in business. The book does not focus on AI models and algorithms, but instead provides an overview of the most popular and frequently used models in business. This allows the book to easily explain AI paradigms and concepts for business students and executives. Artificial Intelligence for Business is divided into six chapters. Chapter 1 begins with a brief introduction to AI and describes its relationship with machine learning, data science and big data analytics. Chapter 2 presents core machine learning workflow and the most effective machine learning techniques. Chapter 3 deals with deep learning, a popular technique for developing AI applications. Chapter 4 introduces recommendation engines for business and covers how to use them to be more competitive. Chapter 5 features natural language processing (NLP) for sentiment analysis focused on emotions. With the help of sentiment analysis, businesses can understand their customers better to improve their experience, which will help the businesses change their market position. Chapter 6 states potential business prospects of AI and the benefits that companies can realize by implementing AI in their processes.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 96 pp. Englisch.…