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

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

Podrobná bibliografie
Korporativní autor: American Chemical Society. Division of Computers in Chemistry (sponsoring body.)
Další autoři: Pyzer-Knapp, Edward O. (Editor), Laino, Teodoro (Editor)
Médium: Electronic Resource
Jazyk:English
Vydáno: Washington, DC American Chemical Society [2019]
Edice:ACS symposium series 1326
Témata:
Chemistry > Data processing.
Machine learning.
Electronic books.
On-line přístup: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