Modern data science with R / Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton.
By: Baumer, Benjamin [author.].
Contributor(s): Kaplan, Daniel [author.] | Horton, Nicholas J [author.].
Material type: TextSeries: Chapman & Hall/CRC texts in statistical science series.Publisher: Boca Raton : CRC Press,Taylor & Francis Group, CRC Press is an imprint of the Taylor & Francis Group, an informa business, [2017]Description: xvi, 551 pages ; UKP 67.99 27 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781498724487 (acidfree paper) (hbk.).Subject(s): Data mining | Big data | Mathematical statistics -- Data processing | R (Computer program language)DDC classification: 006.3/12Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
Book | Chennai Mathematical Institute General Stacks | 006.312 BAU (Browse shelf) | Available | 10663 |
Total holds: 0
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006.31 QUI C4.5 : programs for machine learning / | 006.31 SCH Boosting : foundations and algorithms / | 006.31 SUT Reinforcement learning : an introduction / | 006.312 BAU Modern data science with R / | 006.333 RUS Artificial intelligence : a modern approach / | 006.35 IND Handbook of natural language processing / | 006.37 FOR Computer vision : a modern approach / |
"A Chapman & Hall book."
Includes bibliographical references (pagesand indexes.