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Machine Learning in Chemistry: Data-Driven Algorithms, Learning Systems, and Predictions (ACS Symposium Series) - Tapa dura

 
9780841235052: Machine Learning in Chemistry: Data-Driven Algorithms, Learning Systems, and Predictions (ACS Symposium Series)

Sinopsis

Artificial intelligence, and especially its application to chemistry, is an exciting and rapidly expanding area of research. This volume presents groundbreaking work in this field to facilitate researcher engagement and to serve as a solid base from which new researchers can break into this exciting and rapidly transforming field. This interdisciplinary volume will be a valuable tool for those working in cheminformatics, physical chemistry, and computational chemistry.

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Acerca del autor

Edward O. Pyzer Knapp is the lead for AI and Machine Learning for IBM Research in the United Kingdom. Teodoro Laino is a principal research staff member in the Department of Cognitive Computing and Industry Solutionat IBM Research Laboratory in Zurich, Switzerland.

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