Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
EUR 8,48
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Añadir al carritopaperback. Condición: Good. Cover/edges are worn and or have small tears, otherwise good reading copy.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: PAPER CAVALIER US, Brooklyn, NY, Estados Unidos de America
EUR 21,96
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Añadir al carritoCondición: 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.
Publicado por Cambridge University Press, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 37,76
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Cambridge University Press, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 42,97
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
EUR 44,27
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Añadir al carritoCondición: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 27,60
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Añadir al carritoCondición: 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.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 42,04
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Añadir al carritoCondición: New. In.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 42,17
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Añadir al carritoCondición: New.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 32,99
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Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 40,90
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 780.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 34,37
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Añadir al carritoCondición: 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.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 40,30
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Añadir al carritoPaperback. Condición: Brand New. 422 pages. 9.61x6.69x0.89 inches. In Stock.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 42,43
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Añadir al carritoCondición: New.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 43,52
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Añadir al carritoCondición: New.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 37,92
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 37,75
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Publicado por Cambridge University Press, GB, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 53,00
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Añadir al carritoPaperback. Condición: New. 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.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
EUR 31,54
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Añadir al carritoPaperback. Condición: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Publicado por Cambridge University Press Nov 2023, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 45,20
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Añadir al carritoTaschenbuch. Condición: 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.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 43,95
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Añadir al carritoCondición: New.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 43,11
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Cambridge University Press, GB, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 59,27
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Añadir al carritoPaperback. Condición: New. 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.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 44,27
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 59,16
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Añadir al carritoPaperback. Condición: Brand New. 422 pages. 9.61x6.69x0.89 inches. In Stock.
Publicado por CAMBRIDGE UNIVERSITY PRESS, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: UK BOOKS STORE, London, LONDO, Reino Unido
EUR 70,32
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Añadir al carritoPaperback. Condición: NEW. Brand New! Fast Delivery USA Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-14 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Publicado por CAMBRIDGE UNIVERSITY PRESS, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: URW Books Store, CASPER, WY, Estados Unidos de America
EUR 70,24
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Añadir al carritoPaperback. Condición: Brand New. Brand New! Fast Delivery, Delivery With In 8-14 working Day Only , USA Edition Original Edition. Excellent Quality, Printing In English Language, Quick delivery by FEDEX & DHL. USPS & UPS Act. Our courier service is not available at PO BOX& APO BOX. Ship from India & United States.
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 43,55
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 76,24
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Publicado por Cambridge University Press, Cambridge, 2023
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 46,68
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Publicado por Cambridge University Press, 2024
ISBN 10: 100931825X ISBN 13: 9781009318259
Idioma: Inglés
Librería: Best Price, Torrance, CA, Estados Unidos de America
EUR 33,33
Convertir monedaCantidad disponible: 2 disponibles
Añadir al carritoCondición: New. SUPER FAST SHIPPING.