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 Advances in Computational Intelligence: Theory And ApplicationsComputational Intelligence (CI) is a recently emerging area in fundamental and applied research, exploiting a number of advanced information processing technologies that mainly embody neural networks, fuzzy logic and evolutionary computation. With a major concern to exploiting the tolerance for imperfection, uncertainty, and partial truth to... |  |  Cody's Data Cleaning Techniques Using SAS, Second EditionAlthough this book is titled Cody’s Data Cleaning Techniques Using SAS, I hope that it is more than that. It is my hope that not only will you discover ways to detect data errors, but you will also be exposed to some DATA step programming techniques and SAS procedures that might be new to you.
I have been teaching a two-day data... |  |  |
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 Computational Intelligence: An IntroductionCan computers be intelligent?
This question causes even more debate than the definitions of intelligence do.
Computational intelligence is the study of adaptive mechanisms to enable or facilitate intelligent behaviour in complex and changing environments. As such, computational intelligence encompasses artificial neural networks,... |  |  When Do Fish Sleep? : An Imponderables Book (Imponderables Books)Ponder, if you will ...
Why are tennis balls fuzzy? How come birds don't tip over when they sleep on telephone wires? What makes yawning contagious? Why, oh why, do roosters have to crow so early in the morning?
Pop-culture guru David Feldman demystifies these topics and so much more in When Do Fish... |  |  Pro IronPythonI come from a background of static typing and rigid languages: C, C++, C#. I’m seeing more than one trend at work here. For the longest time I felt something of a warm, fuzzy sensation when it came to my programming. The data type on the left matched the data type on the right. All was well. Then Python walked through the door.
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