Simon walkowiak (23 résultats)
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Vendeur : World of Books (was SecondSale), Montgomery, IL, Etats-UnisWorld of Books (was SecondSale)
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Etat : very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.
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Vendeur : Better World Books, Mishawaka, IN, Etats-UnisBetter World Books
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Vendeur : Bay State Book Company, North Smithfield, RI, Etats-UnisBay State Book Company
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Vendeur : AwesomeBooks, Wallingford, Royaume-UniAwesomeBooks
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EUR 39,28
EUR 4,81 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : 1 disponible(s)
paperback. Etat : Very Good. Big Data Analytics with R: Leverage R Programming to uncover hidden patterns in your Big Data This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book h…as clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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Vendeur : Bahamut Media, Reading, Royaume-UniBahamut Media
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paperback. Etat : Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
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Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books
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EUR 61,70
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Vendeur : Rarewaves.com USA, London, LONDO, Royaume-UniRarewaves.com USA
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EUR 75,75
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Paperback. Etat : New. Utilize R to uncover hidden patterns in your Big DataAbout This Book. Perform computational analyses on Big Data to generate meaningful results. Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases, Explore fast, streaming,…and scalable data analysis with the most cutting-edge technologies in the marketWho This Book Is ForThis book is intended for Data Analysts, Scientists, Data Engineers, Statisticians, Researchers, who want to integrate R with their current or future Big Data workflows.It is assumed that readers have some experience in data analysis and understanding of data management and algorithmic processing of large quantities of data, however they may lack specific skills related to R.What You Will Learn. Learn about current state of Big Data processing using R programming language and its powerful statistical capabilities. Deploy Big Data analytics platforms with selected Big Data tools supported by R in a cost-effective and time-saving manner. Apply the R language to real-world Big Data problems on a multi-node Hadoop cluster, e.g. electricity consumption across various socio-demographic indicators and bike share scheme usage. Explore the compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platformIn DetailBig Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing.The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O.Style and approachThis book will serve as a practical guide to tackling Big Data problems using R programming language and its statistical environment. Each section of the book will present you with concise and easy-to-follow steps on how to process, transform and analyse large data sets.
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-UniRia Christie Collections
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EUR 64,77
EUR 13,98 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
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Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
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EUR 75,98
EUR 3,41 expéditionExpédition nationale : Etats-UnisQuantité disponible : 4 disponible(s)
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Vendeur : Chiron Media, Wallingford, Royaume-UniChiron Media
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EUR 61,53
EUR 18,08 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Paperback. Etat : New.
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Vendeur : Rarewaves.com UK, London, Royaume-UniRarewaves.com UK
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EUR 71,23
EUR 75,87 expéditionExpédition depuis Royaume-Uni vers Etats-UnisQuantité disponible : Plus de 20 disponibles
Paperback. Etat : New. Utilize R to uncover hidden patterns in your Big DataAbout This Book. Perform computational analyses on Big Data to generate meaningful results. Get a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Spark, H2O and SQL/NoSQL databases, Explore fast, streaming,…and scalable data analysis with the most cutting-edge technologies in the marketWho This Book Is ForThis book is intended for Data Analysts, Scientists, Data Engineers, Statisticians, Researchers, who want to integrate R with their current or future Big Data workflows.It is assumed that readers have some experience in data analysis and understanding of data management and algorithmic processing of large quantities of data, however they may lack specific skills related to R.What You Will Learn. Learn about current state of Big Data processing using R programming language and its powerful statistical capabilities. Deploy Big Data analytics platforms with selected Big Data tools supported by R in a cost-effective and time-saving manner. Apply the R language to real-world Big Data problems on a multi-node Hadoop cluster, e.g. electricity consumption across various socio-demographic indicators and bike share scheme usage. Explore the compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platformIn DetailBig Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing.The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O.Style and approachThis book will serve as a practical guide to tackling Big Data problems using R programming language and its statistical environment. Each section of the book will present you with concise and easy-to-follow steps on how to process, transform and analyse large data sets.
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Vendeur : liu xing, Nanjing, JS, Chineliu xing
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EUR 117,01
EUR 15,40 expéditionExpédition depuis Chine vers Etats-UnisQuantité disponible : 5 disponible(s)
paperback. Etat : New. Paperback. Pub Date: 2019-05-01 Pages: 373 Language: Chinese Publisher: People Post Press R is a powerful. open source. functional programming language that can be used for a wide range of programming tasks. In general. the application of the R language. mainly in terms of statistics and data analysis. mac…hine learning. high-performance computing. R language has been in a number of areas to win .
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK
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EUR 63,37
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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Vendeur : Majestic Books, Hounslow, Royaume-UniMajestic Books
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EUR 74,49
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Vendeur : Biblios, frankfurt am main, HESSE, AllemagneBiblios
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Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-UniTHE SAINT BOOKSTORE
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EUR 76,47
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Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Vendeur : moluna, Greven, Allemagnemoluna
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorrnrnIn Discussion regarding updating his book.nnSimon Walkowiak is a former data scientist at the UK DatanArchive (University of Essex) and currently is the Managing Director of MindnProject Ltd and a Da…ta Scientist Meetup org.
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Vendeur : preigu, Osnabrück, Allemagnepreigu
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EUR 78,90
EUR 70,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 5 disponible(s)
Taschenbuch. Etat : Neu. Big Data Analytics with R | Leverage R Programming to uncover hidden patterns in your Big Data | Simon Walkowiak | Taschenbuch | Kartoniert / Broschiert | Englisch | 2016 | Packt Publishing | EAN 9781786466457 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]lib…ri[dot]de | Anbieter: preigu Print on Demand.
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Utilize R to uncover hidden patterns in your Big DataKey FeaturesPerform computational analyses on Big Data to generate meaningful resultsGet a practical knowledge of R programming language while working on Big Data platforms like Hadoop, Sp…ark, H2O and SQL/NoSQL databasesExplore fast, streaming, and scalable data analysis with the most cutting-edge technologies in the marketBook DescriptionBig Data analytics is the process of examining large and complex data sets that often exceed the computational capabilities. R is a leading programming language of data science, consisting of powerful functions to tackle all problems related to Big Data processing.The book will begin with a brief introduction to the Big Data world and its current industry standards. With introduction to the R language and presenting its development, structure, applications in real world, and its shortcomings. Book will progress towards revision of major R functions for data management and transformations. Readers will be introduce to Cloud based Big Data solutions (e.g. Amazon EC2 instances and Amazon RDS, Microsoft Azure and its HDInsight clusters) and also provide guidance on R connectivity with relational and non-relational databases such as MongoDB and HBase etc. It will further expand to include Big Data tools such as Apache Hadoop ecosystem, HDFS and MapReduce frameworks. Also other R compatible tools such as Apache Spark, its machine learning library Spark MLlib, as well as H2O.What you will learnLearn about current state of Big Data processing using R programming language and its powerful statistical capabilitiesDeploy Big Data analytics platforms with selected Big Data tools supported by R in a cost-effective and time-saving mannerApply the R language to real-world Big Data problems on a multi-node Hadoop cluster, e.g. electricity consumption across various socio-demographic indicators and bike share scheme usageExplore the compatibility of R with Hadoop, Spark, SQL and NoSQL databases, and H2O platformWho this book is forThis book is intended for Data Analysts, Scientists, Data Engineers, Statisticians, Researchers, who want to integrate R with their current or future Big Data workflows.It is assumed that readers have some experience in data analysis and understanding of data management and algorithmic processing of large quantities of data, however they may lack specific skills related to R.
