ISBN: 9781118447147 - data mining and business analytics with r (36 Ergebnisse)

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Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

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Hardcover. Zustand: Good. The book is in good condition, with a sturdy hardcover binding. The dust jacket, if originally present, is not described. There are no visible signs of wear on the spine or cover, and the pages are clean and intact. There are no inscriptions or library markings, indicating it is a private copy.…

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hardcover. Zustand: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

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Zustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.…

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Zustand: New.

Zustand: new.

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Zustand: New.

Zustand: As New. Unread book in perfect condition.

Hardback. Zustand: New. New copy - Usually dispatched within 4 working days.

Zustand: New. pp. 368.

Zustand: New. Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. Num Pages: 368 pages, Illustrations (some color). BIC Classification: KJMV3; UFM; UNF. Category: (P) Professional & Vocational. Dimension: 241 x 156 x 22. Weight in Grams: 736. . 2013. 1st Edition. Hardcover. . . . .…

Zustand: New. In English.

Zustand: New. pp. 368 Index.

Zustand: New. Collecting, analyzing, and extracting valuable information from a large amount of data requires easily accessible, robust, computational and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and simplification of large high-dimensional data sets. Num Pages: 368 pages, Illustrations (some color). BIC Classification: KJMV3; UFM; UNF. Category: (P) Professional & Vocational. Dimension: 241 x 156 x 22. Weight in Grams: 736. . 2013. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…