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Lingua: Inglese
Editore: Academus Publishing, Inc. 12/1/2021, 2021
ISBN 10: 1494600269 ISBN 13: 9781494600266
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Hardback or Cased Book. Condizione: New. Roman's Data Science How to monetize your data. Book.
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Da: Majestic Books, Hounslow, Regno Unito
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
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Da: Books Puddle, New York, NY, U.S.A.
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 44,31
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Academus Publishing, Inc. Dez 2021, 2021
ISBN 10: 1494600269 ISBN 13: 9781494600266
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 45,10
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -An introduction to the field of data analysis written in jargon-free language that is not bogged down by programming code and mathematical formulas. It covers the most essential topics in the fields of data science, machine learning and business intelligence that you are likely to come across on a regular basis. The main goal is to help readers get the most out of their data, make business decisions and create information products - all without paying over the odds. In a career spanning over 20 years, the author has worked as a junior data analyst, headed up the analytics division of an $10-billion company and co-founded a recommendation systems startup. The text was edited by a professional journalist. It contains QR codes and links with links you can follow if you want a deeper understanding of the topics covered. 304 pp. Englisch.
Da: moluna, Greven, Germania
EUR 42,93
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den Autorrnrn20 years of experience in data analysis, holds a master s degree in applied mathematics and physics.Founded Retail Rocket, the leading Russian provider of e-commerce recommendation systems (SaaS) with offices in Europe and.
Lingua: Inglese
Editore: Academus Publishing, Inc. Dez 2021, 2021
ISBN 10: 1494600269 ISBN 13: 9781494600266
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 45,10
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -An introduction to the field of data analysis written in jargon-free language that is not bogged down by programming code and mathematical formulas. It covers the most essential topics in the fields of data science, machine learning and business intelligence that you are likely to come across on a regular basis. The main goal is to help readers get the most out of their data, make business decisions and create information products - all without paying over the odds. In a career spanning over 20 years, the author has worked as a junior data analyst, headed up the analytics division of an $10-billion company and co-founded a recommendation systems startup. The text was edited by a professional journalist. It contains QR codes and links with links you can follow if you want a deeper understanding of the topics covered.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 304 pp. Englisch.
Da: preigu, Osnabrück, Germania
EUR 44,60
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Aggiungi al carrelloBuch. Condizione: Neu. Roman's Data Science How to monetize your data | Roman Zykov | Buch | Gebunden | Englisch | 2021 | Academus publishing, Inc. | EAN 9781494600266 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 52,62
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An introduction to the field of data analysis written in jargon-free language that is not bogged down by programming code and mathematical formulas. It covers the most essential topics in the fields of data science, machine learning and business intelligence that you are likely to come across on a regular basis. The main goal is to help readers get the most out of their data, make business decisions and create information products - all without paying over the odds. In a career spanning over 20 years, the author has worked as a junior data analyst, headed up the analytics division of an $10-billion company and co-founded a recommendation systems startup. The text was edited by a professional journalist. It contains QR codes and links with links you can follow if you want a deeper understanding of the topics covered.