Description
John Wiley Meta-Algorithmics: Patterns For Robust, Low Cost, High Quality Systems by Simske
The confluence of cloud computing, parallelism and advancedmachine intelligence approaches has created a world in which theoptimum knowledge system will usually be architected from thecombination of two or more knowledge–generating systems. There is aneed, then, to provide a reusable, broadly–applicable set of designpatterns to empower the intelligent system architect to takeadvantage of this opportunity. This book explains how to design and build intelligent systemsthat are optimized for changing system requirements (adaptability),optimized for changing system input (robustness), and optimized forone or more other important system parameters (e.g.,accuracy, efficiency, cost). It provides an overview of traditionalparallel processing which is shown to consist primarily of task andcomponent parallelism; before introducing meta–algorithmicparallelism which is based on combining two or more algorithms,classification engines or other systems.
Key Features:-
- Explains the entire roadmap for the design, testing,development, refinement, deployment and statisti
- Offers an accessible yet thorough overview of machineintelligence, in addition to having a strong im
- Contains design patterns for parallelism, especiallymeta–algorithmic parallelism simply conveyed, re
- Connects algorithms and analytics to parallelism, therebyillustrating a new way of designing intelli
- Discusses application of the approaches to a wide number offields; primarily, document understanding
- Companion website contains sample code and data sets