Statistical Data Cleaning with Applications in R, de Jonge
Автор: Malley Название: Statistical Learning for Biomedical Data ISBN: 0521699096 ISBN-13(EAN): 9780521699099 Издательство: Cambridge Academ Рейтинг: Цена: 43290.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Biomedical researchers need machine learning techniques to make predictions such as survival/death or response to treatment when data sets are large and complex. This highly motivating introduction to these machines explains underlying principles in nontechnical language, using many examples and figures, and connects these new methods to familiar techniques.
Автор: The Conservation Unit Название: The science for conservators series volume 2: cleaning, 2nd edition ISBN: 0415071658 ISBN-13(EAN): 9780415071659 Издательство: Taylor&Francis Рейтинг: Цена: 47970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: For more than ten years, this series has been the key basic texts for conservators throughout the world. These introductory volumes provide non-scientists with the essential theoretical background to their work.
Автор: Buttrey Название: A Data Scientist`s Guide to Acquiring, Cleaning an d Managing Data in R ISBN: 1119080029 ISBN-13(EAN): 9781119080022 Издательство: Wiley Рейтинг: Цена: 58030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process.
Автор: Rajiv Kohli Название: Developments in Surface Contamination and Cleaning, Vol. 1 ISBN: 0323299601 ISBN-13(EAN): 9780323299602 Издательство: Elsevier Science Рейтинг: Цена: 280720.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: . Developments in Surface Contamination and Cleaning, Vol. 1: Fundamentals and Applied Aspects, Second Edition, provides an excellent source of information on alternative cleaning techniques and methods for characterization of surface contamination and validation. . Each volume in this series contains a particular topical focus, covering the key techniques and recent developments in the area. This volume forms the heart of the series, covering the fundamentals and application aspects, characterization of surface contaminants, and methods for removal of surface contamination. . In addition, new cleaning techniques effective at smaller scales are considered and employed for removal where conventional cleaning techniques fail, along with new cleaning techniques for molecular contaminants. . The Volume is edited by the leading experts in small particle surface contamination and cleaning, providing an invaluable reference for researchers and engineers in R&D, manufacturing, quality control, and procurement specification in a multitude of industries such as aerospace, automotive, biomedical, defense, energy, manufacturing, microelectronics, optics and xerography.
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