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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

Frequently asked questions


Q: What are the various stages of AI and what is the significance of cognitive capabilities?

A: In terms of applicability and its resemblance level with the human brain, AI can be divided into three stages. Applied AI is the application of machine learning algorithms on the data assets in order for the smart machines to define the next course of action. These smart machines operate on the models that can operate within a pre-defined environmental context as well as to a certain degree work within stochastic environments. This level of AI is generally available and is finding use cases and applications in our day to day lives.

Cognitively Simulated AI is the next stage in AI development. In this stage, the intelligent machines are capable of interfacing with human beings in a natural format (with speech, vision, body movements and gestures, and so on). This type of interface between man and machine is seamless and natural and the intelligent machines in this stage...

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