000			01636cam a22003495i 4500
999			_c28452 _d28423
001			ocn1083639942
003			EG-ScBUE
005			20200812135540.0
008			190130t20192019quca f b 001 0 eng d
020			_a9781999579500
020			_a199957950X
035			_a(OCoLC)ocn1083639942
035			_a(OCoLC)1083639942
040			_aNRC _beng _erda _cNRC _dYDX _dYDXIT _dOCLCF _dCLU _dSINLB _dMNM _dDKU _dEG-ScBUE
082	0	4	_a006.31 _bBUR _222
100	1		_aBurkov, Andriy, _eauthor.
245	1	4	_aThe hundred-page machine learning book / _cAndriy Burkov.
264		1	_a[Quebec City, Canada] : _bAndriy Burkov, _c[2019]
264		4	_cc2019
300			_axviii, 141 pages : _billustrations color ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aNotation and definitions -- Fundamental algorithms -- Anatomy of a learning algorithm -- Basic practice -- Neural networks and deep learning -- Problems and solutions -- Advanced practice -- Unsupervised learning -- Other forms of learning.
520			_aProvides a practical guide to get started and execute on machine learning within a few days without necessarily knowing much aboutmachine learningapriori. The first five chapters are enough to get you started and the next few chapters provide you a good feel of more advanced topics to pursue.
650		7	_aMachine learning. _2BUEsh
650		7	_aMaterials science _xData processing. _2BUEsh
653			_bCOMSCI _cJuly2020
655			_vReading book _934232
942			_2ddc _cBB