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

Saved in:

Bibliographic Details
Imprint:	Washington, DC : American Chemical Society, [2019]
Description:	1 online resource
Language:	English
Series:	ACS symposium series ; 1326 ACS symposium series ; 1326.
Subject:	Chemistry -- Data processing. Machine learning. Statistics. Hardness. Neural networks (Computer science) Machine Learning Chemistry -- education Statistics as Topic Hardness Neural Networks, Computer Pharmaceutical Preparations -- analysis Computer Simulation Cheminformatics Statistics Neural networks (Computer science) Hardness Chemistry -- Data processing Machine learning
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12616390

Hidden Bibliographic Details
Other authors / contributors:	Pyzer-Knapp, Edward O., editor. Laino, Teodoro, editor. American Chemical Society. Division of Computers in Chemistry, sponsoring body.
ISBN:	084123504X 9780841235045 9780841235052 0841235058
Notes:	"Sponsored by the ACS Division of Computers in Chemistry." Includes bibliographical references and index. Print version record and CIP data provided by publisher; resource not viewed.
Other form:	Print version: Machine learning in chemistry. Washington, DC : American Chemical Society, [2019] 9780841235052

Similar Items