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

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

Bibliografske podrobnosti
Korporativna značnica: American Chemical Society. Division of Computers in Chemistry (sponsoring body.)
Drugi avtorji: Pyzer-Knapp, Edward O. (Editor), Laino, Teodoro (Editor)
Format: Electronic Resource
Jezik:English
Izdano: Washington, DC American Chemical Society [2019]
Serija:ACS symposium series 1326
Teme:
Chemistry > Data processing.
Machine learning.
Electronic books.
Online dostop: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