ChemDiscovery Lab Manual PDF Download
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Author: Olga I. Agapova
Publisher: Kendall Hunt
ISBN: 9780787257675
Category : Chemistry
Languages : en
Pages : 148
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Book Description
Author: Olga I. Agapova
Publisher: Kendall Hunt
ISBN: 9780787257675
Category : Chemistry
Languages : en
Pages : 148
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Book Description
Author: Olga I. Agapova
Publisher: Kendall Hunt
ISBN: 9780787257682
Category : Chemistry
Languages : en
Pages : 338
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Book Description
Author: Olga I. Agapova
Publisher: Kendall Hunt
ISBN: 9780787257668
Category : Chemistry
Languages : en
Pages : 250
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Book Description
Author: John K. Gilbert
Publisher: Springer Science & Business Media
ISBN: 1402036132
Category : Science
Languages : en
Pages : 375
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Book Description
This book addresses key issues concerning visualization in the teaching and learning of science at any level in educational systems. It is the first book specifically on visualization in science education. The book draws on the insights from cognitive psychology, science, and education, by experts from five countries. It unites these with the practice of science education, particularly the ever-increasing use of computer-managed modelling packages.
Author: American Chemical Society
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 1318
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Book Description
Issues for 1898-1901 include Review of American chemical research, v. 4-7; 1879-1937, the society's Proceedings.
Author:
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 2080
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Book Description
Author: Herman Thompson Briscoe
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 896
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Book Description
Author: Herman T. Briscoe
Publisher:
ISBN:
Category : Chemistry
Languages : en
Pages : 664
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Book Description
Author: Hugh M. Cartwright
Publisher: Royal Society of Chemistry
ISBN: 1788017897
Category : Science
Languages : en
Pages : 564
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Book Description
Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.
Author: Richard E. Mayer
Publisher: Cambridge University Press
ISBN: 9780521838733
Category : Education
Languages : en
Pages : 688
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Book Description
This 2005 book constitutes comprehensive coverage of research and theory in the field of multimedia learning.
