000			01722cam a2200349 i 4500
001			21347569
003			SA-RiNAUS
005			20250904122105.0
008			191230s2019 caua f b 001 0 eng d
020			_a9781492041139
020			_a1492041130
040			_aSA-RiNAUS _bara _cSA-RiNAUS _erda
082	0	4	_a005.756 _221 _bG J D
100	1		_aGrus, Joel _c(Software engineer), _eauthor. _943635
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
500			_aمقررات دراسية لطلاب الجامعة 2024.
500			_aمقررات دراسية 2025-2026.
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		4	_aPython (Computer program language)
650		4	_aDatabase management. _930425
650		4	_aData structures (Computer science) _927993
650		4	_aData mining.
650		4	_aData mining _xMathematics. _943636
942			_2ddc _cBK
999			_c34804 _d34803