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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

Applications in big data analytics


Every passing minute, we are gathering more data across the globe and we now have computing power to store and process the data assets. Let us briefly understand the fundamental architecture of big data systems. In the current form, the big data computing framework is an enormous collection of computation nodes that are distributed across the globe. There are two primary distinctions within the deployments. The systems can be deployed on-premise for the enterprises and there is a paradigm shift towards cloud computing where the compute infrastructure is virtualized and it is geographically distributed in various regions.

The independent units of compute are termed as nodes. The nodes are interconnected and controlled by a centralized computation unit that keeps track of all the nodes and various operations on these nodes. There is a similarity between the natural swarms and the big data nodes in that the nodes are independent work units. However, the similarity...

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