Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms
Jeff Heaton
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.
หมวดหมู่:
ปี:
2013
ฉบับพิมพ์ครั้งที่:
1
สำนักพิมพ์:
CreateSpace Independent Publishing Platform
ภาษา:
english
จำนวนหน้า:
222
ISBN 10:
1493682229
ISBN 13:
9781493682225
ไฟล์:
MOBI , 3.03 MB
IPFS:
,
english, 2013
Amazon 
Barnes & Noble 
Bookshop.org 
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