Artificial Intelligence for Humans, Volume 1 - Fundamental Algorithms (Paperback)

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.

General

Imprint:	Createspace Independent Publishing Platform
Country of origin:	United States
Release date:	November 2013
First published:	November 2013
Authors:	Jeff Heaton
Dimensions:	235 x 191 x 12mm (L x W x T)
Format:	Paperback
Pages:	224
ISBN-13:	978-1-4936-8222-5
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	1-4936-8222-9
Barcode:	9781493682225

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