Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : PAPER CAVALIER US, Brooklyn, NY, Etats-Unis
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Ajouter au panierEtat : very good. Gently used. May include previous owner's signature or bookplate on the front endpaper, sticker on back and/or remainder mark on text block.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
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Ajouter au panierpaperback. Etat : Very Good. Minor shelf wear on cover.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
EUR 17,92
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Ajouter au panierpaperback. Etat : Good. Cover/edges are worn and or have small tears, otherwise good reading copy.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
Edition originale
EUR 21,63
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Ajouter au panierpaperback. Etat : Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
Edition originale
EUR 27,33
Quantité disponible : 1 disponible(s)
Ajouter au panierpaperback. Etat : New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Edité par Cambridge University Press
Vendeur : Academic Book Solutions, Medford, NY, Etats-Unis
EUR 17,99
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Ajouter au panierpaperback. Etat : VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 38,73
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 42,06
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Ajouter au panierEtat : New.
Edité par Cambridge University Press 2/8/2024, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
EUR 44,42
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Ajouter au panierPaperback or Softback. Etat : New. Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions. Book.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 42,09
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Toscana Books, AUSTIN, TX, Etats-Unis
EUR 48,87
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Ajouter au panierPaperback. Etat : new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 42,23
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 40,13
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Ajouter au panierEtat : New. In.
Edité par Cambridge University Press 2023-11-30, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 36,87
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Ajouter au panierPaperback. Etat : New.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 39,78
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 45,07
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 65,54
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Ajouter au panierPaperback. Etat : Brand New. 422 pages. 9.61x6.69x0.89 inches. In Stock.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 45,20
Quantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Not Elektronisches Buch offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments.
Edité par Cambridge University Press, Cambridge, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments. A hands-on textbook teaching how to carry out large-scale data analytics and implement machine learning solutions for big data. Including copious real-world examples, it offers a coherent teaching package with lab assignments, exercises, solutions for instructors, and lecture slides. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 39,71
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 422 pages. 9.61x6.69x0.89 inches. In Stock. This item is printed on demand.
Edité par Cambridge University Press, Cambridge, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 46,44
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments. A hands-on textbook teaching how to carry out large-scale data analytics and implement machine learning solutions for big data. Including copious real-world examples, it offers a coherent teaching package with lab assignments, exercises, solutions for instructors, and lecture slides. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Cambridge University Press, Cambridge, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 59,84
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments. A hands-on textbook teaching how to carry out large-scale data analytics and implement machine learning solutions for big data. Including copious real-world examples, it offers a coherent teaching package with lab assignments, exercises, solutions for instructors, and lecture slides. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Cambridge University Press, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : preigu, Osnabrück, Allemagne
EUR 51
Quantité disponible : 5 disponible(s)
Ajouter au panierTaschenbuch. Etat : Neu. Large-Scale Data Analytics with Python and Spark | Isaac Triguero (u. a.) | Taschenbuch | Englisch | 2023 | Cambridge University Press | EAN 9781009318259 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.