Machine learning in chemistry data-driven algorithms, learning systems, and predictions

Bibliografische gegevens
Coauteur:	American Chemical Society. Division of Computers in Chemistry (sponsoring body.)
Andere auteurs:	Pyzer-Knapp, Edward O. (Redacteur), Laino, Teodoro (Redacteur)
Formaat:	Electronic Resource
Taal:	English
Gepubliceerd in:	Washington, DC American Chemical Society [2019]
Reeks:	ACS symposium series 1326
Onderwerpen:	Chemistry > Data processing. Machine learning. Electronic books.
Online toegang:	Available for University of the Philippines Diliman via ACS Publications. Click here to access Also available remotely for University of the Philippines Diliman via ACS Publications. Click here to access thru EZproxy