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Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms
Contributor(s): Heaton, Jeff (Author)

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ISBN: 1493682229     ISBN-13: 9781493682225
Publisher: Createspace Independent Publishing Platform
OUR PRICE: $23.74  

Binding Type: Paperback - See All Available Formats & Editions
Published: November 2013
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Additional Information
BISAC Categories:
- Computers | Intelligence (ai) & Semantics
Dewey: 006.3
Series: Artificial Intelligence for Humans
Physical Information: 0.47" H x 7.5" W x 9.25" L (0.86 lbs) 224 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
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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