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:	eBook
Language:	English
Published:	Washington, DC : American Chemical Society, [2019]
Series:	ACS symposium series ; 1326.
Subjects:	Chemistry > Data processing. Machine learning. Cheminformatics Machine Learning Chimio-informatique. Apprentissage automatique. Chemistry > Data processing Machine learning Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Item Description:	"Sponsored by the ACS Division of Computers in Chemistry" -- title page.
Physical Description:	1 online resource (x, 129 pages) : illustrations.
Bibliography:	Includes bibliographical references and indexes.
ISBN:	9780841235045 084123504X