000			01081 a2200253 4500
003			OSt
005			20240204112513.0
008			240203b |||||||| |||| 00| 0 eng d
020			_a978-3031387463
082			_a519.5
100			_aJames, Gareth
245			_aAn introduction to statistical learning: With applications in python
260			_aNew York, _bSpringer: _c2023.
300			_axv, 607p., ind., 25 cm X 18 cm
490			_aSpringer texts in statistics
500			_aRecommended by: Banikanta Mishra
521			_aContent: Introduction Statistical Learning Linear Regression Classification Resampling Methods Linear Model Selection and Regularization Moving Beyond Linearity Tree-Based Methods Support Vector Machines Deep Learning Survival Analysis and Censored data Unsupervised Learning Multiple Testing
650			_xmathematical models _xmathematical statistics _xpython _xcomputer program language
700			_aWitten, Daniela
700			_aHastie, Trevor
700			_aTibshirani, Robert
700			_aTaylor, Jonathan
942			_2ddc _cBK
999			_c22054 _d22054