[PDF.96wv] Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms
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Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms
Jeff Heaton
[PDF.pc80] Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms
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| #105810 in Books | 2013-11-26 | Original language:English | PDF # 1 | 9.25 x.50 x7.50l,.86 | File type: PDF | 222 pages||1 of 1 people found the following review helpful.| Excellent Introduction to Artificial Intelligence|By Customer|I found this book to be an excellent introduction to machine learning and artificial intelligence. I was particularly impressed with the author's writing style which made the book very enjoyable to read. My only complaint would be that the latter chapters of the book contained less code. The initial chapters had pl|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...
You can specify the type of files you want, for your gadget.Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms | Jeff Heaton. Just read it with an open mind because none of us really know.
