000 01206nmm a22002777a 4500
003 SPU
005 20210629160835.0
008 210519b2017 sz |||||o|||| 00| 0 eng d
020 _a9783319554440 (E-book)
040 _aSPU
049 _amain
050 4 _aQA 276.4
_bS54D 2017
100 _aSkiena, Steven S.
_9242849
245 1 4 _aThe data science design manual /
_cSteven S. Skiena
_h[electronic resource]
246 _aData science design manual
260 _aCham, Switzerland :
_bSpringer,
_c2017
300 _a1 online resource (xvii, 445 pages) :
_billustrations (some color)
449 _a140501
505 0 _aWhat is Data Science? -- Mathematical Preliminaries -- Data Munging -- Scores and Rankings -- Statistical Analysis -- Visualizing Data -- Mathematical Models -- Linear Algebra -- Linear and Logistic Regression -- Distance and Network Methods -- Machine Learning -- Big Data: Achieving Scale
650 0 _aMATHEMATICAL STATISTICS
_xDATA PROCESSING
_936513
850 _aSPU
856 _uhttps://drive.google.com/file/d/16oBeURWqAo0FZKs5mwLwRTx1RDFjrWPR/view?usp=sharing
_yView Full-text
910 _aLibrary
_bSpringer
_c190521
942 _2lcc
_cEBK
998 _ajirawan 0521
999 _c201795