Condizione: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.
paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Condizione: As New. Unread book in perfect condition.
Da: HPB-Diamond, Dallas, TX, U.S.A.
Paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
EUR 17,68
Quantità: 1 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: New.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Parallel R: Data Analysis in the Distributed World. Book.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 28,37
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Readify Books, New Castle, DE, U.S.A.
Paperback. Condizione: NEW. International Edition, Paperback, Brand New,ISBN and Cover image may differ but contents similar to U.S. Edition. We ship from multiple Locations including India, We ship to PO , APO and FPO adresses in U.S.A. Choose Expedited Shipping for FASTER DELIVERY.Customer Satisfaction Guaranteed.
Da: Readify Books, New Castle, DE, U.S.A.
Paperback. Condizione: NEW. International Edition, Brand New, ISBN and Cover same but contents similar to U.S. Edition, We ship from multiple Locations including India. Legal to use despite any disclaimer, We ship to PO , APO and FPO adresses in U.S.A. Ship from multiple Locations including India Choose Expedited Shipping for FASTER DELIVERY.Customer Satisfaction Guaranteed.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 29,90
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 17,67
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
EUR 20,16
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 19,72
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 27,34
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. R is a wonderful thing, indeed: in recent years this free, open-source product has become a popular toolkit for statistical analysis and programming. Two of R's limitations -- that it is single-threaded and memory-bound -- become especially troublesome in the current era of large-scale data analysis. Num Pages: 122 pages, Illustrations. BIC Classification: UMX. Category: (XV) Technical / Manuals. Dimension: 233 x 178 x 8. Weight in Grams: 244. . 2011. Paperback. . . . .
EUR 39,65
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Illustrated. Welcome to data science's dirty secret: real-world data is messy. Data scientists must spend a good deal of time playing software developer, writing code to clean up data before they can actually do anything constructive with it. It's a necessary evil, but you can still make the most of it. This practical book walks you through several real-world examples to demonstrate the theory and practice behind working with and cleaning up dirty data. No one tool solves all of the problems well. Wise data scientists learn many tools and learn where each one shines. To that end, this book takes a polyglot approach: most examples will involve R and Python, but expect the occasional smattering of Groovy and sed/awk fun.
Condizione: New. R is a wonderful thing, indeed: in recent years this free, open-source product has become a popular toolkit for statistical analysis and programming. Two of R's limitations -- that it is single-threaded and memory-bound -- become especially troublesome in the current era of large-scale data analysis. Num Pages: 122 pages, Illustrations. BIC Classification: UMX. Category: (XV) Technical / Manuals. Dimension: 233 x 178 x 8. Weight in Grams: 244. . 2011. Paperback. . . . . Books ship from the US and Ireland.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 30,85
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 32,29
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condizione: New. Bad Data Handbook: Cleaning Up the Data So You Can Get Back to Work. Book.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 42,37
Quantità: 1 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 32,43
Quantità: 1 disponibili
Aggiungi al carrelloBlanda. Condizione: New. Condizione sovraccoperta: Nuevo. No Aplica (illustratore). 1. It?s tough to argue with R as a high-quality, cross-platform, open source statistical software product?unless you?re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets, including three chapters on using R and Hadoop together. You?ll learn the basics of Snow, Multicore, Parallel, Segue, RHIPE, and Hadoop Streaming, including how to find them, how to use them, when they work well, and when they don?t. With these packages, you can overcome R?s single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address R?s memory barrier. Snow: works well in a traditional cluster environment. Multicore: popular for multiprocessor and multicore computers. Parallel: part of the upcoming R 2.14.0 release. R+Hadoop: provides low-level access to a popular form of cluster computing. RHIPE: uses Hadoop?s power with R?s language and interactive shell. Segue: lets you use Elastic MapReduce as a backend for lapply-style operations. 240 gr. Libro.
Da: Revaluation Books, Exeter, Regno Unito
EUR 56,16
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 245 pages. 9.25x6.75x0.75 inches. In Stock.
EUR 26,23
Quantità: Più di 20 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. R is a wonderful thing, indeed: in recent years this free, open-source product has become a popular toolkit for statistical analysis and programming. Two of R s limitations -- that it is single-threaded and memory-bound -- become especially troublesome in .
paperback. Condizione: New. In shrink wrap. Looks like an interesting title!
EUR 42,63
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Illustrated. Welcome to data science's dirty secret: real-world data is messy. Data scientists must spend a good deal of time playing software developer, writing code to clean up data before they can actually do anything constructive with it. It's a necessary evil, but you can still make the most of it. This practical book walks you through several real-world examples to demonstrate the theory and practice behind working with and cleaning up dirty data. No one tool solves all of the problems well. Wise data scientists learn many tools and learn where each one shines. To that end, this book takes a polyglot approach: most examples will involve R and Python, but expect the occasional smattering of Groovy and sed/awk fun.
EUR 43,62
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Welcome to data science s dirty secret: real-world data is messy. Data scientists must spend a good deal of time playing software developer, writing code to clean up data before they can actually do anything constructive with it. This is a necessary evil, b.