Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
EUR 8,57
Autre deviseQuantité disponible : 1 disponible(s)
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 : PAPER CAVALIER US, Brooklyn, NY, Etats-Unis
EUR 21,96
Autre deviseQuantité disponible : 1 disponible(s)
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, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
EUR 42,97
Autre deviseQuantité disponible : 15 disponible(s)
Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
EUR 44,27
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : 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.
Edité par Cambridge University Press, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 37,76
Autre deviseQuantité disponible : 15 disponible(s)
Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 27,60
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : 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.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 42,04
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierEtat : New. In.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Basi6 International, Irving, TX, Etats-Unis
EUR 44,27
Autre deviseQuantité disponible : 3 disponible(s)
Ajouter au panierEtat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 42,17
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 40,90
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 780.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 32,99
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 43,52
Autre deviseQuantité disponible : 1 disponible(s)
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 34,37
Autre deviseQuantité disponible : 5 disponible(s)
Ajouter au panierEtat : 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.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 40,30
Autre deviseQuantité disponible : 1 disponible(s)
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 : Majestic Books, Hounslow, Royaume-Uni
EUR 42,43
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 43,95
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 37,92
Autre deviseQuantité disponible : 2 disponible(s)
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 : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 37,75
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierEtat : New.
Edité par Cambridge University Press, GB, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 53
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : 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.
Edité par Cambridge University Press Nov 2023, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 45,20
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierTaschenbuch. Etat : 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.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Toscana Books, AUSTIN, TX, Etats-Unis
EUR 31,54
Autre deviseQuantité disponible : 1 disponible(s)
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 : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 43,11
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Cambridge University Press, GB, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 59,27
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : 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.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 59,16
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. 422 pages. 9.61x6.69x0.89 inches. In Stock.
Edité par Cambridge University Press, Cambridge, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 43,55
Autre deviseQuantité 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par CAMBRIDGE UNIVERSITY PRESS, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : UK BOOKS STORE, London, LONDO, Royaume-Uni
EUR 70,32
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierPaperback. Etat : 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.
Edité par CAMBRIDGE UNIVERSITY PRESS, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : URW Books Store, CASPER, WY, Etats-Unis
EUR 70,24
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierPaperback. Etat : 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.
Edité par Cambridge University Press, Cambridge, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 76,24
Autre deviseQuantité 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Cambridge University Press, Cambridge, 2023
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis
EUR 46,68
Autre deviseQuantité 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Edité par Cambridge University Press, 2024
ISBN 10 : 100931825X ISBN 13 : 9781009318259
Langue: anglais
Vendeur : Best Price, Torrance, CA, Etats-Unis
EUR 33,33
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierEtat : New. SUPER FAST SHIPPING.