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_aCommunications of the ACM : _btechniques for interpretable machine learning / _cJames Larus. |
| 260 |
_aNew York, NY : _bACM Media, _cJanuary 2020. |
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| 300 |
_a104 pages ; _c28 cm. |
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| 490 | 0 | _vV.63, No.01 | |
| 926 |
_aDestiny Material Type _bMagazine |
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| 999 |
_c16333 _d16333 |
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