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

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

Bibliographic Details
Corporate Author: American Chemical Society. Division of Computers in Chemistry (sponsoring body.)
Other Authors: Pyzer-Knapp, Edward O. (Editor), Laino, Teodoro (Editor)
Format: Electronic Resource
Language:English
Published: Washington, DC American Chemical Society [2019]
Series:ACS symposium series 1326
Subjects:
Chemistry > Data processing.
Machine learning.
Electronic books.
Online Access: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