| 000 | 02788nam a2200601 i 4500 | ||
|---|---|---|---|
| 001 | ccn00943402 | ||
| 006 | m o d | ||
| 007 | cr*cn ---unuuu | ||
| 008 | 200805s2020 dcua ob 101 0 eng d | ||
| 020 |
_a9780841299009 _qelectronic |
||
| 040 |
_aNjRocCCS _beng _erda _cNjRocCCS |
||
| 050 | 4 |
_aQD39.3.E46 _bJ36 2020 |
|
| 060 | 4 |
_aQD 39.3.E46 _bJ33 2020 |
|
| 082 | 0 | 4 |
_a542/.85 _223 |
| 084 |
_aCOM094000 _aSCI013070 _2bisacsh |
||
| 100 | 1 |
_aJanet, Jon Paul, _eauthor. _uMassachusetts Institute of Technology. _967862 |
|
| 245 | 1 | 0 |
_aMachine learning in chemistry / _cJon Paul Janet & Heather J. Kulik. |
| 264 | 1 |
_aWashington, DC, USA : _bAmerican Chemical Society, _c2020. |
|
| 300 |
_a1 online resource : _billustrations (some color). |
||
| 336 |
_atext _2rdacontent |
||
| 337 |
_acomputer _2rdamedia |
||
| 338 |
_aonline resource _2rdacarrier |
||
| 490 | 1 |
_aACS in focus, _x2691-8307 |
|
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | 0 |
_tAdvancing Research through Machine Learning -- _tSupervised Machine Learning for the Chemical Sciences -- _tLinear Models, Kernels, and Trees -- _tRepresentations of Atomistic Systems -- _tNeural Networks and Learned Representations -- _tApplying Machine Learning Models in Chemistry. |
| 588 | _aDescription based on publisher-supplied information and home-page. | ||
| 590 | _aAmerican Chemical Society, ACS In Focus eBooks - 2020 Front Files. | ||
| 650 | 0 |
_aMachine learning. _91831 |
|
| 650 | 0 |
_aChemisty _xComputer programs. _967620 |
|
| 650 | 0 |
_aSupervised learning (Machine learning) _921676 |
|
| 650 | 0 |
_aChemistry _xComputer simulation. _967621 |
|
| 650 | 0 |
_aMachine theory. _967863 |
|
| 650 | 0 |
_aArtificial intelligence. _93407 |
|
| 650 | 0 |
_aLinear models (Statistics) _911855 |
|
| 650 | 0 |
_aKernel functions _xComputer programs. _967623 |
|
| 650 | 0 |
_aTrees (Graph theory) _xComputer programs. _967624 |
|
| 650 | 0 |
_aChemistry _xMolecular aspects _xComputer programs. _967625 |
|
| 650 | 0 |
_aNeural networks (Computer science) _93414 |
|
| 650 | 1 | 2 |
_aComputational Chemistry. _963092 |
| 650 | 2 | 2 |
_aMachine Learning. _91831 |
| 650 | 2 | 2 |
_aSupervised Machine Learning. _967626 |
| 650 | 2 | 2 |
_aComputer Simulation. _95106 |
| 650 | 2 | 2 |
_aArtificial Intelligence. _93407 |
| 650 | 2 | 2 |
_aLinear Models. _911856 |
| 650 | 2 | 2 |
_aNeural Networks, Computer. _921566 |
| 650 | 7 |
_aCOMPUTERS / Data Science / Machine Learning. _2bisacsh _967627 |
|
| 650 | 7 |
_aSCIENCE / Chemistry / Computational & Molecular Modeling. _2bisacsh _967628 |
|
| 700 | 1 |
_aKulik, Heather J., _eauthor. _uMassachusetts Institute of Technology. _967864 |
|
| 710 | 2 |
_aAmerican Chemical Society, _eissuing body. _967532 |
|
| 830 | 0 |
_aACS in focus. _x2691-8307 _967865 |
|
| 856 | 4 |
_3ACS _uhttp://dx.doi.org/10.1021/acs.infocus.7e4001 |
|
| 942 | _cEBK | ||
| 999 |
_c82155 _d82155 |
||