Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: PAPER CAVALIER US, Brooklyn, NY, U.S.A.
Condition: 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.
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
paperback. Condition: Very Good. Minor shelf wear on cover.
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: Books From California, Simi Valley, CA, U.S.A.
paperback. Condition: Good. Cover/edges are worn and or have small tears, otherwise good reading copy.
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: Textbooks_Source, Columbia, MO, U.S.A.
First Edition
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Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: Textbooks_Source, Columbia, MO, U.S.A.
First Edition
paperback. Condition: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: 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.
Published by Cambridge University Press
Seller: Academic Book Solutions, Medford, NY, U.S.A.
paperback. Condition: VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Published by Cambridge University Press 2/8/2024, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Large-Scale Data Analytics with Python and Spark: A Hands-On Guide to Implementing Machine Learning Solutions. Book.
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: 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.
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
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Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New.
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Condition: New. In.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 422 pages. 9.61x6.69x0.89 inches. In Stock.
Published by Cambridge University Press 2023-11-30, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: Chiron Media, Wallingford, United Kingdom
Paperback. Condition: New.
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Published by Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 422 pages. 9.61x6.69x0.89 inches. In Stock.
Published by Cambridge University Press Nov 2023, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Published by Cambridge University Press, Cambridge, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
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.
Published by Cambridge University Press, Cambridge, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
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 UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, Cambridge, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
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.
Published by Cambridge University Press, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Language: English
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.