000			01405nam a22002657a 4500
003			OSt
005			20260128094746.0
008			260123b |||||||| |||| 00| 0 spa d
020			_a9781098102937
040			_cRDA
082			_a006.3 N667
100			_aNield, Thomas _954670
245			_aEssential math for data science : _btake control of your data with fundamental linear algebra, probability , and statistics
264			_aEstados Unidos de América : _bO´Reilly Media, _946941 _c2022
300			_a334 páginas
365			_b245.100
500			_aIncluye índice
505			_aBasic math and calculus review: number theory - Order of operations -- Probability: understanding probability - Probability versus statistics -- Descriptive and inferential statistics: what is data - Descriptive versus inferential statistics -- Linear algebra: what is a vector - Adding and combining vectors -- Linear regression: a basic linear regression - Residuals and squared errors -- Logistic regression and classification: understanding logistic regression - Logistic function
650		0	_aInteligencia artificial _930150
650		0	_aAnálisis numérico _xProcesamiento de datos _945956
650		0	_aProbabilidades y matemáticas aplicadas (Análisis de datos) _954672
650		0	_aEstadística ( Análisis de datos ) _954673
650		0	_aAlmacenamiento de información _954665
942			_cBK
999			_c517551 _d517551