000 | 01029nam a2200193Ia 4500 | ||
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008 | 240825s9999 xx 000 0 und d | ||
020 |
_a9789352138456 _qpbk |
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041 | _aeng | ||
082 |
_a005.7 _bLOU |
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100 | _aLoukides, Mike | ||
245 | 0 |
_aEthics and data science _c/ MikeLoukides |
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260 |
_cc2018 _a Sebastopol, CA : _bO'Reilly Media : |
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300 |
_avi, 30 p. : _c23 cm. |
||
500 | _aReprint, 2022 | ||
520 | _aAs the impact of data science continues to grow on society there is an increased need to discuss how data is appropriately used and how to address misuse. Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles into action. With this report, authors Mike Loukides, Hilary Mason, and DJ Patil examine practical ways for making ethical data standards part of your work every day. | ||
650 | _a Apprentissage automatique; Big data; Data mining Moral and ethical aspects | ||
700 | _aHilary Mason; DJ Patil | ||
942 | _cENGLISH | ||
999 |
_c541654 _d541654 |