000			01631nam a2200253 a 4500
999			_c28310 _d28310
001			62946
020			_a9781784393908
082			_a005.8 LA MA
100			_aLantz, Brett _935167
245	1	0	_aMachine learning with R : _bdiscover how to build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R _cBrett Lantz
260			_aBirmingham : _bPackt Publishing, _cc2015.
300			_axiii, 426 p. : _bill. ; _c24 cm.
490	1		_aCommunity experience distilled
520			_aWritten as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science tasks. Intended for those who want to learn how to use R's machine learning capabilities and gain insight from your data. Perhaps you already know a bit about machine learning, but have never used R; or.
526	0		_aCSCI323
650		7	_aR (Computer program language) _vHandbooks, manuals, etc. _938704
650		7	_aMachine learning _xStatistical methods _vHandbooks, manuals, etc. _938705
650		7	_aCOMPUTERS _xMachine Theory _916625
650		7	_aCOMPUTERS _xProgramming Languages _938706
650		7	_aMachine learning _xStatistical methods _938707
650		7	_aR (Computer program language) _92458
856			_uhttps://uowd.box.com/s/txqrjlyxzuknfqfmikirkc6zqx0e9ip8 _zLocation Map
942			_cREGULAR _2ddc