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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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 Deshpande Deshpande
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Deshpande
 Kumar Kumar
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Kumar
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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 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 1. Other Books You May Enjoy Index

Frequently asked questions


Q: Why do we need fuzzy systems?

A: In our quest to build intelligent machines, we cannot continue to model the world with crisp or quantitative and definite inputs. We need to model systems like the human brain, which can easily understand and process input, even if they are not mathematical and contain a degree of vagueness. We need fuzzy systems in order to interpret real-world input and produce prescribed actions based on the context. Fuzzy systems can fuzzify and defuzzify the input and facilitate inseparability between natural events and computers. 

Q: What are crisp sets and fuzzy sets? How are they different from one another?

A: Crisp sets have two possibilities for members. A particular element/data point/event is a member or a non-member of the crisp set. For example, days in a week from Monday to Sunday are members of the days of the week crisp set. Anything else apart from the seven days is not a member of the set. Members of fuzzy sets, on the other hand...

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