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Artificial Intelligence for Big Data

You're reading from  Artificial Intelligence for Big Data

Product type Book
Published in May 2018
Publisher Packt
ISBN-13 9781788472173
Pages 384 pages
Edition 1st Edition
Languages
Authors (2):
Anand Deshpande Anand Deshpande
Profile icon Anand Deshpande
Manish Kumar Manish Kumar
Profile icon Manish Kumar
View More author details
Toc

Table of Contents (19) Chapters close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Big Data and Artificial Intelligence Systems 2. Ontology for Big Data 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 1. Other Books You May Enjoy Index

Summary


In this chapter, we understood the fundamental theory of fuzzy logic. It is imperative that as we build intelligent machines with ever-growing volumes of data that is available from discrete sources in structured, unstructured, and semi-structured forms, machines need the ability to interface with the real world in the same way as human beings do. We do not need explicit mathematical input to make our decisions. In the same way, if we are able to interpret natural language and apply fuzzy techniques to computation, we will be able to create smart machines that really complement humans.

The mathematical theory of fuzzy systems is decades old. However, with the advent of massive data storage and processing frameworks, practical implementations are possible especially with the convergence of fuzzy logic and deep neural networks, and a truly intelligent, self-learning system will be a reality very soon. This chapter has created the foundation for modeling and bringing our systems even...

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