[PDF.41rz] Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms

Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms

[PDF.si73] Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms

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 | #210965 in Books |  2013-11-26 | Original language:English | PDF # 1 |  9.25 x.50 x7.50l,.86 | File type: PDF | 222 pages

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||22 of 24 people found the following review helpful.| A good primer for AI|By Brookemeister|I've wanted to better understand artificial intelligence for a long time. This book has opened the door for me. It requires a little mathematical aptitude, but little else, as the author starts with basic concepts and gradually builds on them. I like the examples and illustrations. They helped me digest and build my understanding one step|About the Author|Jeff Heaton, PhD, is a data scientist and indy publisher. Specializing in Python, R, Java and C#, he is an active technology blogger, open source contributor, and author of more than ten books. His areas of expertise include predictive modeling,

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 i...

You easily download any file type for your device.Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms   |  Jeff Heaton. Just read it with an open mind because none of us really know.

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