000			02290cam a22004577i 4500
001			0074298
003			BD-SySUS
005			20200916130313.0
008			191230s2019 caua b 001 0 eng d
010			_a 2019304439
020			_a9781492041139 _qpaperback
020			_a1492041130 _qpaperback
035			_a(OCoLC)on1060198620
037			_a107490 _bTVG
040			_aYDX _beng _cYDX _erda _dBDX _dOCLCQ _dBYV _dOCP _dCLE _dJRZ _dOCLCF _dTVG _dVU@ _dYDXIT _dHF9 _dDLC
042			_alccopycat
050	0	0	_aQA76.73.P98 _bG78 2019
082	0	4	_a005.7565 _223 _bGRD
100	1		_aGrus, Joel _c(Software engineer), _eauthor. _936650
245	1	0	_aData science from scratch : _bfirst principles with Python / _cJoel Grus.
250			_aSecond edition.
264		1	_aSebastopol, CA : _bO'Reilly Media, _c[2019]
300			_axvii, 384 pages : _billustrations ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction -- A crash course in Python -- Visualizing data -- Linear algebra -- Statistics -- Probability -- Hypothesis and inference -- Gradient descent -- Getting data -- Working with data -- Machine learning -- k-Nearest neighbors -- Naive bayes -- Simple linear regression -- Multiple regression -- Logistic regression -- Decision trees -- Neural networks -- Deep learning -- Clustering -- Natural language processing -- Network analysis -- Recommender systems -- Databases and SQL -- MapReduce -- Data ethics -- Go forth and do data science.
650		0	_aPython (Computer program language) _936651
650		0	_aDatabase management. _936652
650		0	_aData structures (Computer science) _936653
650		0	_aData mining. _936654
650		0	_aData mining _xMathematics. _936655
650		7	_aData mining. _2fast _0(OCoLC)fst00887946 _936654
650		7	_aData structures (Computer science) _2fast _0(OCoLC)fst00887978 _936653
650		7	_aDatabase management. _2fast _0(OCoLC)fst00888037 _936652
650		7	_aPython (Computer program language) _2fast _0(OCoLC)fst01084736 _936651
906			_a7 _bcbc _ccopycat _d2 _encip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c75522 _d75522