Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: PAPER CAVALIER US, Brooklyn, NY, U.S.A.
Condizione: 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.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: Books From California, Simi Valley, CA, U.S.A.
paperback. Condizione: Very Good. Minor shelf wear on cover.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: Books From California, Simi Valley, CA, U.S.A.
paperback. Condizione: Good. Cover/edges are worn and or have small tears, otherwise good reading copy.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: Textbooks_Source, Columbia, MO, U.S.A.
Prima edizione
paperback. Condizione: 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).
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: Textbooks_Source, Columbia, MO, U.S.A.
Prima edizione
paperback. Condizione: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Editore: Cambridge University Press
Da: Academic Book Solutions, Medford, NY, U.S.A.
paperback. Condizione: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Editore: Cambridge University Press 2/8/2024, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions. Book.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 31,68
Quantità: 5 disponibili
Aggiungi al carrelloCondizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: Majestic Books, Hounslow, Regno Unito
EUR 42,23
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: Toscana Books, AUSTIN, TX, U.S.A.
Paperback. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 40,02
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 42,21
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 37,58
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 39,59
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 422 pages. 9.61x6.69x0.89 inches. In Stock.
Editore: Cambridge University Press 2023-11-30, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 36,76
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Editore: Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 44,97
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Revaluation Books, Exeter, Regno Unito
EUR 66,10
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 422 pages. 9.61x6.69x0.89 inches. In Stock.
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 42,78
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 75,88
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Cambridge University Press Nov 2023, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 45,20
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - 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.
Editore: Cambridge University Press, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Lingua: Inglese
Da: preigu, Osnabrück, Germania
EUR 50,40
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.