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Artificial Intelligence for Big Data

You're reading from   Artificial Intelligence for Big Data Complete guide to automating Big Data solutions using Artificial Intelligence techniques

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788472173
Length 384 pages
Edition 1st Edition
Languages
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Authors (2):
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Anand Deshpande Anand Deshpande
Author Profile Icon Anand Deshpande
Anand Deshpande
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
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Toc

Table of Contents (14) Chapters Close

Preface 1. Big Data and Artificial Intelligence Systems 2. Ontology for Big Data FREE CHAPTER 3. Learning from Big Data 4. Neural Network for Big Data 5. Deep Big Data Analytics 6. Natural Language Processing 7. Fuzzy Systems 8. Genetic Programming 9. Swarm Intelligence 10. Reinforcement Learning 11. Cyber Security 12. Cognitive Computing 13. Other Books You May Enjoy

Frequently asked questions


Q: What is the difference between distributed computing paradigm and swarm intelligence? In the case of distributed computing, we also divide the work units in chunks that are processed by individual nodes. 

A: The basic difference between these two types of systems is that the distributed computing systems are centrally controlled. There is a master node or processing unit that keeps track of all the worker nodes and allocated work units based on their availability. The frameworks also maintain a level of redundancy so that the system is reliable in case of failure of one of the worker nodes. In case of intelligent swarm behavior demonstrated by social creatures, there is not centralized control and all the agents operate independently within their operating principles. The agents are self-organizing and collaborate intuitively and implicitly instead of an explicit collaboration managed by a central controlling unit. 

Q: How do systems based on SI algorithms mimic...

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