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

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

Opis bibliograficzny
Korporacja: American Chemical Society. Division of Computers in Chemistry (sponsoring body.)
Kolejni autorzy: Pyzer-Knapp, Edward O. (Redaktor), Laino, Teodoro (Redaktor)
Format: Electronic Resource
Język:English
Wydane: Washington, DC American Chemical Society [2019]
Seria:ACS symposium series 1326
Hasła przedmiotowe:
Chemistry > Data processing.
Machine learning.
Electronic books.
Dostęp online: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