Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms (2014) by Jeff Heaton {ePub & Mobi} [Dr.Soc]

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Added on December 24, 2015 by Dr.Socin Books
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Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms (2014) by Jeff Heaton {ePub & Mobi} [Dr.Soc] (Size: 4.47 MB)
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Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms

Author: Jeff Heaton
Series: Artificial Intelligence for Humans
Paperback: 222 pages
Publisher: CreateSpace Independent Publishing; 1 edition (2014)
Language: English
ISBN-10: 1493682229
ISBN-13: 978-1493682225
Format: ePub & Mobi


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Summary:

A great building requires a strong foundation. This book teaches basic Artificial Intelligence algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, Nelder Mead, and linear regression. These are not just foundational algorithms for the rest of the series, but are very useful in their own right. The book explains all algorithms using actual numeric calculations that you can perform yourself. Artificial Intelligence for Humans is a book series meant to teach AI to those without an extensive mathematical background. The reader needs only a knowledge of basic college algebra or computer programming—anything more complicated than that is thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, R, Python and C. Other languages planned.
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4.47 MB
seeders:4
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Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms (2014) by Jeff Heaton {ePub & Mobi} [Dr.Soc]