Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: 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.
paperback. Condizione: Very Good.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 28,10
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Da: Lakeside Books, Benton Harbor, MI, U.S.A.
EUR 26,91
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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: WorldofBooks, Goring-By-Sea, WS, Regno Unito
EUR 24,05
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Aggiungi al carrelloPaperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Paperback or Softback. Condizione: New. Managing Your Data Science Projects: Learn Salesmanship, Presentation, and Maintenance of Completed Models. Book.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 31,57
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 41,36
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Da: Revaluation Books, Exeter, Regno Unito
EUR 42,86
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Aggiungi al carrelloPaperback. Condizione: Brand New. 143 pages. 9.00x6.00x0.50 inches. In Stock.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 37,47
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 42,18
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 54,38
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Da: Chiron Media, Wallingford, Regno Unito
EUR 50,29
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Aggiungi al carrelloPaperback. Condizione: New.
Condizione: New.
Da: preigu, Osnabrück, Germania
EUR 42,60
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Managing Your Data Science Projects | Learn Salesmanship, Presentation, and Maintenance of Completed Models | Robert de Graaf | Taschenbuch | xii | Englisch | 2019 | Apress | EAN 9781484249062 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 39,22
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 48,14
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -At first glance, the skills required to work in the data science field appear to be self-explanatory. Do not be fooled. Impactful data science demands an interdisciplinary knowledge of business philosophy, project management, salesmanship, presentation, and more. In Managing Your Data Science Projects, author Robert de Graaf explores important concepts that are frequently overlooked in much of the instructional literature that is available to data scientists new to the field. If your completed models are to be used and maintained most effectively, you must be able to present and sell them within your organization in a compelling way.The value of data science within an organization cannot be overstated. Thus, it is vital that strategies and communication between teams are dexterously managed. Three main ways that data science strategy is used in a company is to research its customers, assess risk analytics, and log operational measurements. These all require different managerial instincts, backgrounds, and experiences, and de Graaf cogently breaks down the unique reasons behind each. They must align seamlessly to eventually be adopted as dynamic models.Data science is a relatively new discipline, and as such, internal processes for it are not as well-developed within an operational business as others. With Managing Your Data Science Projects, you will learn how to create products that solve important problems for your customers and ensure that the initial success is sustained throughout the product's intended life. Your users will trust you and your models, and most importantly, you will be a more well-rounded and effectual data scientist throughout your career.Who This Book Is ForEarly-career data scientists, managers of data scientists, and those interested in entering the field of data science 156 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 68,00
Quantità: 4 disponibili
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 68,81
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Da: moluna, Greven, Germania
EUR 40,39
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Explores how you can use business strategies within your data science projects to best harness your technical skills Teaches you how to contextualize and present your technical data science with end users in mind.
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 48,14
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -At first glance, the skills required to work in the data science field appear to be self-explanatory. Do not be fooled. Impactful data science demands an interdisciplinary knowledge of business philosophy, project management, salesmanship, presentation, and more. In Managing Your Data Science Projects, author Robert de Graaf explores important concepts that are frequently overlooked in much of the instructional literature that is available to data scientists new to the field. If your completed models are to be used and maintained most effectively, you must be able to present and sell them within your organization in a compelling way.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 156 pp. Englisch.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 48,72
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - At first glance, the skills required to work in the data science field appear to be self-explanatory. Do not be fooled. Impactful data science demands an interdisciplinary knowledge of business philosophy, project management, salesmanship, presentation, and more. In Managing Your Data Science Projects, author Robert de Graaf explores important concepts that are frequently overlooked in much of the instructional literature that is available to data scientists new to the field. If your completed models are to be used and maintained most effectively, you must be able to present and sell them within your organization in a compelling way.The value of data science within an organization cannot be overstated. Thus, it is vital that strategies and communication between teams are dexterously managed. Three main ways that data science strategy is used in a company is to research its customers, assess risk analytics, and log operational measurements. These all require different managerial instincts, backgrounds, and experiences, and de Graaf cogently breaks down the unique reasons behind each. They must align seamlessly to eventually be adopted as dynamic models.Data science is a relatively new discipline, and as such, internal processes for it are not as well-developed within an operational business as others. With Managing Your Data Science Projects, you will learn how to create products that solve important problems for your customers and ensure that the initial success is sustained throughout the product's intended life. Your users will trust you and your models, and most importantly, you will be a more well-rounded and effectual data scientist throughout your career.Who This Book Is ForEarly-career data scientists, managers of data scientists, and those interested in entering the fieldof data science.