Author: Steven J. Simske
Edition: 1
Binding: Kindle Edition
ISBN: B00D42Q5NW
Edition: 1
Binding: Kindle Edition
ISBN: B00D42Q5NW
Meta-Algorithmics: Patterns for Robust, Low Cost, High Quality Systems (Wiley - IEEE)
The confluence of cloud computing, parallelism and advanced machine intelligence approaches has created a world in which the optimum knowledge system will usually be architected from the combination of two or more knowledge-generating systems. Download Meta-Algorithmics: Patterns for Robust, Low Cost, High Quality Systems (Wiley - IEEE) from rapidshare, mediafire, 4shared. There is a need, then, to provide a reusable, broadly-applicable set of design patterns to empower the intelligent system architect to take advantage of this opportunity.This book explains how to design and build intelligent systems that are optimized for changing system requirements (adaptability), optimized for changing system input (robustness), and optimized for one or more other important systemA parameters (e.g., accuracy, efficiency, cost). It provides an overview of traditional parallel processin Search and find a lot of engineering books in many category availabe for free download.
Download Meta-Algorithmics
Download Meta-Algorithmics engineering books for free. There is a need, then, to provide a reusable, broadly-applicable set of design patterns to empower the intelligent system architect to take advantage of this opportunity.This book explains how to design and build intelligent systems that are optimized for changing system requirements (adaptability), optimized for changing system input (robustness), and optimized for one or more other important systemA parameters (e.g., accuracy, efficiency, cost) here is a need, then, to provide a reusable, broadly-applicable set of design patterns to empower the intelligent system architect to take advantage of this opportunity.This book explains how to design and build intelligent systems that are optimized for changing system requirements (adaptability), optimized for changing system input (robustness), and optimized for one or more other important systemA parameters (e.g., accuracy, efficiency, cost). It provides an overview of traditional parallel processin
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