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

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

Détails bibliographiques
Collectivité auteur: American Chemical Society. Division of Computers in Chemistry (sponsoring body.)
Autres auteurs: Pyzer-Knapp, Edward O. (Éditeur intellectuel), Laino, Teodoro (Éditeur intellectuel)
Format: Electronic Resource
Langue:English
Publié: Washington, DC American Chemical Society [2019]
Collection:ACS symposium series 1326
Sujets:
Chemistry > Data processing.
Machine learning.
Electronic books.
Accès en ligne: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