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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

Chapter 12. Cognitive Computing

So far in this book, we have studied the general principles of machine learning (ML) and artificial intelligence (AI). This is a good foundation and a starting point for creating intelligent machines that can complement and augment human capabilities. This is possible with the ever increasing computational power along with the availability of ever growing volumes of data. However, in order to build artificial machines that can potentially match (or inch closer to) the human brain, we need to develop our understanding of human cognition.

While a tremendous amount of research and thinking has happened for so many decades (or centuries), we are far from fully decoding nature's program when it comes to human cognition. In this chapter, we will initiate the reader on cognitive science and introduce some of the frameworks that are available to take the research forward. During the course of this final chapter, we will introduce you to the following:

  • General principles...
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