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How To Use Machine Learning In Chemistry : An Introduction Hugh M (Oxford University (Retired), Uk) Cartwright
How To Use Machine Learning In Chemistry : An Introduction Hugh M (Oxford University (Retired), Uk) Cartwright
How To Use Machine Learning In Chemistry : An Introduction Hugh M (Oxford University (Retired), Uk) Cartwright
How To Use Machine Learning In Chemistry : An Introduction Hugh M (Oxford University (Retired), Uk) Cartwright
How To Use Machine Learning In Chemistry : An Introduction Hugh M (Oxford University (Retired), Uk) Cartwright
How To Use Machine Learning In Chemistry : An Introduction Hugh M (Oxford University (Retired), Uk) Cartwright
How To Use Machine Learning In Chemistry : An Introduction Hugh M (Oxford University (Retired), Uk) Cartwright
How To Use Machine Learning In Chemistry : An Introduction Hugh M (Oxford University (Retired), Uk) Cartwright
How To Use Machine Learning In Chemistry : An Introduction Hugh M (Oxford University (Retired), Uk) Cartwright
How To Use Machine Learning In Chemistry : An Introduction Hugh M (Oxford University (Retired), Uk) Cartwright
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How To Use Machine Learning In Chemistry : An Introduction Hugh M (Oxford University (Retired), Uk) Cartwright

How to Use Machine Learning in ChemistryAn Introduction

Author(s): Hugh M Cartwright

Format: Paperback

Publisher: Royal Society of Chemistry, United Kingdom

Imprint: Royal Society of Chemistry

ISBN-13: 9781837072248, 978-1837072248

Synopsis

Machine learning and artificial intelligence are hot topics across the sciences but what are they? How do machines learn and how can we apply them to problems in the chemical sciences?

Written as a primer for anyone new to the area of machine learning, this book provides an overview of the principles that underly its use in science and discusses its use as a practical tool in research. Readers will develop an understanding of key terminology and learn about the critical factors to be taken into account when using machine learning in science.

Drawing on examples from chemistry, this book covers topics including the mechanics of networks and training, representations in chemistry and solving issues with data. With a focus on practical i.

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How To Use Machine Learning In Chemistry : An Introduction Hugh M (Oxford University (Retired), Uk) Cartwright

How to Use Machine Learning in ChemistryAn Introduction

Author(s): Hugh M Cartwright

Format: Paperback

Publisher: Royal Society of Chemistry, United Kingdom

Imprint: Royal Society of Chemistry

ISBN-13: 9781837072248, 978-1837072248

Synopsis

Machine learning and artificial intelligence are hot topics across the sciences but what are they? How do machines learn and how can we apply them to problems in the chemical sciences?

Written as a primer for anyone new to the area of machine learning, this book provides an overview of the principles that underly its use in science and discusses its use as a practical tool in research. Readers will develop an understanding of key terminology and learn about the critical factors to be taken into account when using machine learning in science.

Drawing on examples from chemistry, this book covers topics including the mechanics of networks and training, representations in chemistry and solving issues with data. With a focus on practical i.

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£33.45

To

£44.40
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Product Description

How to Use Machine Learning in ChemistryAn Introduction

Author(s): Hugh M Cartwright

Format: Paperback

Publisher: Royal Society of Chemistry, United Kingdom

Imprint: Royal Society of Chemistry

ISBN-13: 9781837072248, 978-1837072248

Synopsis

Machine learning and artificial intelligence are hot topics across the sciences but what are they? How do machines learn and how can we apply them to problems in the chemical sciences?

Written as a primer for anyone new to the area of machine learning, this book provides an overview of the principles that underly its use in science and discusses its use as a practical tool in research. Readers will develop an understanding of key terminology and learn about the critical factors to be taken into account when using machine learning in science.

Drawing on examples from chemistry, this book covers topics including the mechanics of networks and training, representations in chemistry and solving issues with data. With a focus on practical i.

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General

format

trade paperback

Language

english

series

issn ser.

type

textbook

Brand

Royal Society of Chemistry

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