Janet, Jon Paul, <br/><br/>
Machine learning in chemistry / 
Jon Paul Janet & Heather J. Kulik. 
 - 1 online resource :  illustrations (some color). 
 - ACS in focus,  2691-8307 .
 - ACS in focus. .
<br/><br/>Includes bibliographical references and index. 
<br/><br/> Advancing Research through Machine Learning --  Supervised Machine Learning for the Chemical Sciences --  Linear Models, Kernels, and Trees --  Representations of Atomistic Systems --  Neural Networks and Learned Representations --  Applying Machine Learning Models in Chemistry. 
<br/><br/><label>ISBN: </label>9780841299009 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Machine learning.<br/>Chemisty--Computer programs.<br/>Supervised learning (Machine learning)<br/>Chemistry--Computer simulation.<br/>Machine theory.<br/>Artificial intelligence.<br/>Linear models (Statistics)<br/>Kernel functions--Computer programs.<br/>Trees (Graph theory)--Computer programs.<br/>Chemistry--Molecular aspects--Computer programs.<br/>Neural networks (Computer science)<br/>Computational Chemistry.<br/>Machine Learning.<br/>Supervised Machine Learning.<br/>Computer Simulation.<br/>Artificial Intelligence.<br/>Linear Models.<br/>Neural Networks, Computer.<br/>COMPUTERS / Data Science / Machine Learning.<br/>SCIENCE / Chemistry / Computational & Molecular Modeling.
<br/><br/><label>LC Class. No.: </label>QD39.3.E46  / J36 2020 
<br/><br/><label>Dewey Class. No.: </label>542/.85 
<br/><br/><label>National Library of Medicine Call No.: </label>QD 39.3.E46  / J33 2020