The Artificial Intelligence Compendium: Subject index II, Met-Z PDF Download
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Author:
Publisher:
ISBN: 9780913251409
Category : Artificial intelligence
Languages : en
Pages :
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Book Description
Author:
Publisher:
ISBN: 9780913251409
Category : Artificial intelligence
Languages : en
Pages :
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 360
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Book Description
Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 424
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Book Description
Author: UNESCO International Centre for Technical and Vocational Education and Training
Publisher: UNESCO Publishing
ISBN: 9231004468
Category : Political Science
Languages : en
Pages : 56
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Author:
Publisher:
ISBN:
Category : Industrial engineering
Languages : en
Pages : 168
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Author: United States. National Aeronautics and Space Administration
Publisher:
ISBN:
Category :
Languages : en
Pages : 752
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Author:
Publisher:
ISBN:
Category : Industrial engineering
Languages : en
Pages : 736
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Author:
Publisher:
ISBN: 9780913251409
Category : Artificial intelligence
Languages : en
Pages :
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Book Description
Author: Julian Baggini
Publisher: John Wiley & Sons
ISBN: 1444357476
Category : Philosophy
Languages : en
Pages : 304
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Book Description
The second edition of this popular compendium provides the necessary intellectual equipment to engage with and participate in effective philosophical argument, reading, and reflection Features significantly revised, updated and expanded entries, and an entirely new section drawn from methods in the history of philosophy This edition has a broad, pluralistic approach--appealing to readers in both continental philosophy and the history of philosophy, as well as analytic philosophy Explains difficult concepts in an easily accessible manner, and addresses the use and application of these concepts Proven useful to philosophy students at both beginning and advanced levels
Author: Nathan Brown
Publisher: Royal Society of Chemistry
ISBN: 1839160543
Category : Computers
Languages : en
Pages : 425
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Book Description
Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.
