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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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Anand Deshpande Anand Deshpande
Author Profile Icon Anand Deshpande
Anand Deshpande
Manish Kumar Manish Kumar
Author Profile Icon Manish Kumar
Manish Kumar
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Toc

Table of Contents (14) Chapters Close

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 13. Other Books You May Enjoy

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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