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Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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Language: English
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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Language: English
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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paperback. Condition: Good. Cover/edges are worn and or have small tears, otherwise good reading copy.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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Language: English
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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First Edition
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Language: English
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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paperback. Condition: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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Condition: As New. Unread book in perfect condition.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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Language: English
Published by Cambridge University Press 2/8/2024, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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Paperback or Softback. Condition: New. Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions. Book.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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Language: English
Published by Cambridge University Press 2023-11-30, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
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Published by Cambridge University Press, 2024
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Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
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Add to basketPaperback. Condition: Brand New. 422 pages. 9.61x6.69x0.89 inches. In Stock.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Language: English
Published by Cambridge University Press, Cambridge, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: 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.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 422 pages. 9.61x6.69x0.89 inches. In Stock. This item is printed on demand.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand.
Language: English
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Language: English
Published by Cambridge University Press, Cambridge, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Seller: CitiRetail, Stevenage, United Kingdom
US$ 54.41
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Add to basketPaperback. Condition: 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.
Language: English
Published by Cambridge University Press, Cambridge, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Seller: AussieBookSeller, Truganina, VIC, Australia
Paperback. Condition: 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.
Language: English
Published by Cambridge University Press, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: 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.