Practical data science with R / Nina Zumel and John Mount ; foreword by Jeremy Howard and Rachel Thomas.
Material type:
TextPublisher: Shelter Island : Manning, [2020?]Copyright date: ©2020Edition: 2nd editionDescription: xxvii, 536 pages ; 24 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781617295874Subject(s): R (Computer program language) | Mathematical statistics -- Data processing | Data mining | COMPUTERS / Database Management / Data Mining | Data mining | Mathematical statistics -- Data processing | R (Computer program language) | Data Mining | Datenanalyse | R ProgrammDDC classification: 006.312 LOC classification: QA276.45.R3 | Z86 2020
Contents:
Introduction to data science -- Modeling methods -- Working in the real world.
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Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 006.312 ZUM (Browse shelf(Opens below)) | Available | 06781829 | |||
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Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 006.312 ZUM (Browse shelf(Opens below)) | Available | 06781810 | |||
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Paul Hamlyn Library | Paul Hamlyn Library | Floor 1 | 006.312 ZUM (Browse shelf(Opens below)) | Available | 06781799 |
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| 006.312 HAS Driving data projects : a comprehensive guide / | 006.312 ROI Data mining fundamentals : a tutorial based primer / | 006.312 ROI Data mining fundamentals : a tutorial based primer / | 006.312 ZUM Practical data science with R / | 006.312 ZUM Practical data science with R / | 006.312 ZUM Practical data science with R / | 006.33 CAS Case-based reasoning technology : from foundations to applications / |
Includes bibliographical references (pages 519-521) and index.
Introduction to data science -- Modeling methods -- Working in the real world.
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