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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

Cognitive Systems


One of the key characteristics of Cognitive Systems (CS) is that they have the ability to interact and interface with human beings with natural language in a similar as possible manner to human interactions. The systems are capable of learning and thinking from the stochastic environmental context as well as historical data inputs. The systems should be able to quickly evolve from dependency on the structured data inputs (traditional computing) to semi-structured and unstructured data inputs very similar to the human interface.

We have already seen in the chapter on fuzzy systems that the systems based on AI should be trainable to accept fuzzy inputs in a natural format without any cleansing or harmonizing. Since Cognitive Systems interact with human beings in a natural way, they can extend and amplify human capabilities with an added advantage of brute-force and a virtually unlimited amount of data storage capabilities.

As we have seen in the introductory section in this...

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