The Locator -- [(subject = "Data mining")]

866 records matched your query       


Record 38 | Previous Record | Long Display | Next Record
02678aam a2200445Ii 4500
001 2421031A5D1D11EA9B49BA2197128E48
003 SILO
005 20200303010150
008 191113t20202020nyua     b    001 0 eng d
020    $a 1617295876
020    $a 9781617295874
035    $a (OCoLC)1129203536
040    $a TOH $b eng $c TOH $d BDX $d WVU $d JRZ $d TOH $d GZN $d OCLCF $d CHVBK $d OCLCO $d SILO
050 14 $a QA276.45.R3 $b Z86 2020
082 04 $a 006.312 $2 23
100 1  $a Zumel, Nina $e author.
245 10 $a Practical data science with R / $c Nina Zumel and John Mount ; foreword by Jeremy Howard and Rachel Thomas.
250    $a Second edition.
264  1 $a Shelter Island, NY : $b Manning Publications Company, $c [2020]
300    $a xxvii, 536 pages : $b illustrations ; $c 24 cm.
504    $a Includes bibliographical references (pages 519-521) and index.
520    $a "Evidence-based decisions are crucial to success.  Applying the right data analysis techniques to your carefully curated business data helps you make accurate predictions, identify trends, and spot trouble in advance.  The R data analysis platform provides the tools you need to tackel day-to-day data analysis and machine learning tasks efficiently and effectively.  "Practical data science with R, second edition" is a task-based tutorial that leads readers through dozens of useful data analysis practices using the R language.  By concentrating on the most important tasks you'll face on the job, this friendly guide is comfortable both for business analysts and data scientists.  Because data is only useful if it can be understood, you'll also find fantastic tips for organizing and presenting data in tables, as well as snappy visualizations."-- $c Provided by publisher
505 0  $a Introduction to data science -- Modeling methods -- Working in the real world.
650  0 $a R (Computer program language)
650  0 $a Mathematical statistics $x Data processing.
650  0 $a Data mining.
650  7 $a COMPUTERS / Database Management / Data Mining. $2 bisacsh
650  7 $a Data mining. $2 fast $0 (OCoLC)fst00887946
650  7 $a Mathematical statistics $x Data processing. $2 fast $0 (OCoLC)fst01012133
650  7 $a R (Computer program language) $2 fast $0 (OCoLC)fst01086207
650  7 $a Data Mining $2 gnd
650  7 $a Datenanalyse $2 gnd
650  7 $a R $g Programm $2 gnd
700 1  $a Mount, John $c (Computational scientist) $e author.
700 1  $a Howard, Jeremy, $e writer of foreword.
700 1  $a Thomas, Rachel, $e writer of foreword.
941    $a 1
952    $l USUX851 $d 20200402012909.0
956    $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=2421031A5D1D11EA9B49BA2197128E48
994    $a 92 $b IWA

Initiate Another SILO Locator Search

This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.