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RONALD K PEARSON (88 risultati)
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Nonlinear Digital Filtering With Python : An Introduction
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: As New. Unread book in perfect condition.
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Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: Jackson Street Booksellers, Omaha, NE, U.S.A.
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Prima edizione
Soft cover. Condizione: Very Good. 1st Edition. Very good copy in softcover. Grey spine with white title.
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Mining Imperfect Data: With Examples in R and Python, Second Edition Ronald K. Pearson Second Edition
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2020
ISBN 10: 161197626X ISBN 13: 9781611976267
Da: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
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Condizione: New. 2nd edition, 481 pp., paperback, NEW!!! - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
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Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: Zoom Books Company, Lynden, WA, U.S.A.
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Condizione: like_new.
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: GreatBookPrices, Columbia, MD, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: As New. Unread book in perfect condition.
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: New.
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Exploratory Data Analysis Using R (Hardcover)
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryLingua: Inglese
Editore: Taylor & Francis Inc, Portland, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. Hardcover. Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" good, bad, and ugly features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data.The book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. The book ends with a chapter on "keeping it all together" that includes managing the R installation, managing files, documenting, and an introduction to reproducible computing.The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. it keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available.About the Author:Ronald K. Pearson holds the position of Senior Data Scientist with GeoVera, a property insurance company in Fairfield, California, and he has previously held similar positions in a variety of application areas, including software development, drug safety data analysis, and the analysis of industrial process data. He holds a PhD in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology and has published conference and journal papers on topics ranging from nonlinear dynamic model structure selection to the problems of disguised missing data in predictive modeling. Dr. Pearson has authored or co-authored books including Exploring Data in Engineering, the Sciences, and Medicine (Oxford University Press, 2011) and Nonlinear Digital Filtering with Python. He is also the developer of the DataCamp course on base R graphics and is an author of the datarobot and GoodmanKruskal R packages available from CRAN (the Comprehensive R Archive Network). "A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc." Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Discrete-Time Dynamic Models
Lingua: Inglese
Editore: Oxford University Press, Incorporated, 1999
ISBN 10: 0195121988 ISBN 13: 9780195121988
Da: Better World Books, Mishawaka, IN, U.S.A.
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Condizione: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: New.
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: GreatBookPrices, Columbia, MD, U.S.A.
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Condizione: As New. Unread book in perfect condition.
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: PBShop.store UK, Fairford, GLOS, Regno Unito
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EUR 67,35
Spedizione EUR 7,83
Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloUNK. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 66,12
Spedizione EUR 17,36
Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: GreatBookPricesUK, Woodford Green, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 66,74
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Spedito da Regno Unito a U.S.A.Quantità: 10 disponibili
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 67,34
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Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: Majestic Books, Hounslow, Regno Unito
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EUR 78,86
Spedizione EUR 7,52
Spedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 562.
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 562.
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: GreatBookPricesUK, Woodford Green, Regno Unito
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EUR 73,11
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Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 66,75
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: Biblios, Frankfurt am main, HESSE, Germania
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EUR 84,25
Spedizione EUR 9,95
Spedito da Germania a U.S.A.Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 562.
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 73,77
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Aggiungi al carrelloMixed media product. Condizione: New. New copy - Usually dispatched within 4 working days.
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Exploratory Data Analysis Using R: Includes Digital Download
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: Revaluation Books, Exeter, Regno Unito
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EUR 81,48
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Spedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloBook/CD-ROM. Condizione: Brand New. 547 pages. 9.00x6.00x1.00 inches. In Stock.
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Mining Imperfect Data: With Examples in R and Python (eng)
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2020
ISBN 10: 161197626X ISBN 13: 9781611976267
Da: Brook Bookstore On Demand, Napoli, NA, Italia
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EUR 89,37
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: Books Puddle, New York, NY, U.S.A.
Valutazione del venditore 4 su 5 stelle
Condizione: New. pp. 562.
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Mining Imperfect Data
Lingua: Inglese
Editore: SIAM - Society for Industrial and Applied Mathematics, 2020
ISBN 10: 161197626X ISBN 13: 9781611976267
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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EUR 96,85
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Spedito da Irlanda a U.S.A.Quantità: 1 disponibili
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryDa: Biblios, Frankfurt am main, HESSE, Germania
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EUR 97,38
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Spedito da Germania a U.S.A.Quantità: 3 disponibili
Aggiungi al carrelloCondizione: New. pp. 562.
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Mining Imperfect Data (Paperback)
Lingua: Inglese
Editore: Society for Industrial & Applied Mathematics,U.S., New York, 2020
ISBN 10: 161197626X ISBN 13: 9781611976267
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Paperback. It has been estimated that as much as 80% of the total effort in a typical data analysis project is taken up with data preparation, including reconciling and merging data from different sources, identifying and interpreting various data anomalies, and selecting and implementing appropriate treatment strategies for the anomalies that are found. This book focuses on the identification and treatment of data anomalies, including examples that highlight different types of anomalies, their potential consequences if left undetected and untreated, and options for dealing with them.As both data sources and free, open-source data analysis software environments proliferate, more people and organizations are motivated to extract useful insights and information from data of many different kinds (e.g., numerical, categorical, and text). The book emphasizes the range of open-source tools available for identifying and treating data anomalies, mostly in R but also with several examples in Python.Mining Imperfect Data: With Examples in R and Python, Second Editionpresents a unified coverage of 10 different types of data anomalies (outliers, missing data, inliers, metadata errors, misalignment errors, thin levels in categorical variables, noninformative variables, duplicated records, coarsening of numerical data, and target leakage);includes an in-depth treatment of time-series outliers and simple nonlinear digital filtering strategies for dealing with them; andprovides a detailed introduction to several useful mathematical characteristics of important data characterizations that do not appear to be widely known among practitioners, such as functional equations and key inequalities. Focuses on the identification and treatment of data anomalies, including examples that highlight different types of anomalies, their potential consequences if left undetected and untreated, and options for dealing with them. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Mining Imperfect Data
Lingua: Inglese
Editore: MP-SIA SIAM - Society for Industrial and Applied M, 2020
ISBN 10: 161197626X ISBN 13: 9781611976267
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 110,26
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Spedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Mining Imperfect Data
Lingua: Inglese
Editore: Society for Industrial and Applied Mathematics,U.S., US, 2020
ISBN 10: 161197626X ISBN 13: 9781611976267
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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EUR 118,54
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Spedito da Regno Unito a U.S.A.Quantità: 3 disponibili
Aggiungi al carrelloPaperback. Condizione: New. Second Edition. It has been estimated that as much as 80% of the total effort in a typical data analysis project is taken up with data preparation, including reconciling and merging data from different sources, identifying and interpreting various data anomalies, and selecting and implementing appropriate treatment strategies for the anomalies that are found. This book focuses on the identification and treatment of data anomalies, including examples that highlight different types of anomalies, their potential consequences if left undetected and untreated, and options for dealing with them.As both data sources and free, open-source data analysis software environments proliferate, more people and organizations are motivated to extract useful insights and information from data of many different kinds (e.g., numerical, categorical, and text). The book emphasizes the range of open-source tools available for identifying and treating data anomalies, mostly in R but also with several examples in Python.Mining Imperfect Data: With Examples in R and Python, Second Editionpresents a unified coverage of 10 different types of data anomalies (outliers, missing data, inliers, metadata errors, misalignment errors, thin levels in categorical variables, noninformative variables, duplicated records, coarsening of numerical data, and target leakage);includes an in-depth treatment of time-series outliers and simple nonlinear digital filtering strategies for dealing with them; andprovides a detailed introduction to several useful mathematical characteristics of important data characterizations that do not appear to be widely known among practitioners, such as functional equations and key inequalities.
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Mining Imperfect Data With Examples in R and Python
Lingua: Inglese
Editore: Society For Industrial & Applied Mathematics,U.S., 2020
ISBN 10: 161197626X ISBN 13: 9781611976267
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 101,96
Spedizione EUR 17,36
Spedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Aggiungi al carrelloPaperback / Softback. Condizione: Brand New. 2nd revised edition edition. 481 pages. 10.08x7.01x1.26 inches. In Stock.
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Exploratory Data Analysis Using R
Libro 48 di 56: Chapman & Hall/CRC Data Mining and Knowledge DiscoveryEUR 68,02
Spedizione EUR 48,99
Spedito da Germania a U.S.A.Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Ronald K. Pearson currently works for GeoVera, a property insurance company in Fairfield, California, primarily in the analysis of text data. He holds a PhD in Electrical Engineering and Computer Science from the Massachussetts Institute.
