000 | 01232nam a22003257a 4500 | ||
---|---|---|---|
003 | IIITD | ||
005 | 20240528020003.0 | ||
008 | 230924b xxu||||| |||| 00| 0 eng d | ||
010 | _a 2017043665 | ||
020 | _a9780262535434 | ||
040 |
_aDLC _beng _cDLC _erda _dIIITD |
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042 | _apcc | ||
050 | 0 | 0 |
_aQA76.9.B45 _bK45 2018 |
082 | 0 | 0 |
_a005.7 _223 _bKEL-D |
100 | 1 | _aKelleher, John D. | |
245 | 1 | 0 |
_aData science _cby John D. Kelleher and Brendan Tierney. |
260 |
_aLondon : _bMIT Press, _c©2018 |
||
300 |
_axi, 264 p. : _bill. ; _c18 cm. |
||
490 | 0 | _aThe MIT Press essential knowledge series. | |
504 | _aThis book includes bibliographical references and an index. | ||
505 |
_tWhat is data science? _tWhat is data, and what is a dataset? _tThe data science ecosystem _tMachine learning 101 _tStandard data science tasks _tPrivacy and ethics _tFuture trends and principles of success |
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650 | 0 | _aBig data. | |
650 | 0 | _aMachine learning. | |
650 | 0 | _aData mining. | |
650 | 0 | _aQuantitative research. | |
700 | 1 | _aTierney, Brendan | |
906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
942 |
_2ddc _cBK _05 |
||
999 |
_c171715 _d171715 |