000 02927cam a2200565Ki 4500
001 9781351204750
003 FlBoTFG
005 20220509193048.0
006 m o d
007 cr cnu---unuuu
008 190805s2020 flu ob 001 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9781351204750
_q(electronic bk.)
020 _a1351204750
_q(electronic bk.)
020 _a9781351204736
_q(electronic bk. : EPUB)
020 _a1351204734
_q(electronic bk. : EPUB)
020 _a9781351204743
_q(electronic bk. : PDF)
020 _a1351204742
_q(electronic bk. : PDF)
020 _a9781351204729
_q(electronic bk. : Mobipocket)
020 _a1351204726
_q(electronic bk. : Mobipocket)
020 _z9780815384205
020 _z0815384203
020 _z9780815384106
020 _z0815384106
024 8 _a10.1201/9781351204750
_2doi
035 _a(OCoLC)1111577914
035 _a(OCoLC-P)1111577914
050 4 _aQ325.5
_b.F38 2020eb
072 7 _aBUS
_x061000
_2bisacsh
072 7 _aCOM
_x000000
_2bisacsh
072 7 _aCOM
_x012040
_2bisacsh
072 7 _aUY
_2bicssc
082 0 4 _a006.3/1
_223
100 1 _aFaul, A. C.
_q(Anita C.),
_eauthor.
245 1 2 _aA concise introduction to machine learning /
_cAnita Faul.
264 1 _aBoca Raton, Florida :
_bCRC Press,
_c[2019]
300 _a1 online resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aChapman & Hall/CRC machine learning & pattern recognition
520 _a"Machine Learning is known by many different names, and is used in many areas of science. It is also used for a variety of applications, including spam filtering, optical character recognition, search engines, computer vision, NLP, advertising, fraud detection, robotics, data prediction, astronomy. Considering this, it can often be difficult to find a solution to a problem in the literature, simply because different words and phrases are used for the same concept. This class-tested textbook aims to alleviate this, using mathematics as the common language. It covers a variety of machine learning concepts from basic principles, and llustrates every concept using examples in MATLAB"--
_cProvided by publisher.
505 0 _aIntroduction -- Probability theory -- Sampling -- Linear classification -- Non-linear classification -- Dimensionality reduction -- Regression -- Feature learning.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aMachine learning
_vTextbooks.
650 7 _aBUSINESS & ECONOMICS / Statistics
_2bisacsh
650 7 _aCOMPUTERS / General
_2bisacsh
650 7 _aCOMPUTERS / Computer Graphics / Game Programming & Design
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781351204750
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c129124
_d129124