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Artificial Intelligence By Example

You're reading from   Artificial Intelligence By Example Develop machine intelligence from scratch using real artificial intelligence use cases

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788990547
Length 490 pages
Edition 1st Edition
Languages
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Author (1):
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Denis Rothman Denis Rothman
Author Profile Icon Denis Rothman
Denis Rothman
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Toc

Table of Contents (19) Chapters Close

Preface 1. Become an Adaptive Thinker 2. Think like a Machine FREE CHAPTER 3. Apply Machine Thinking to a Human Problem 4. Become an Unconventional Innovator 5. Manage the Power of Machine Learning and Deep Learning 6. Don't Get Lost in Techniques – Focus on Optimizing Your Solutions 7. When and How to Use Artificial Intelligence 8. Revolutions Designed for Some Corporations and Disruptive Innovations for Small to Large Companies 9. Getting Your Neurons to Work 10. Applying Biomimicking to Artificial Intelligence 11. Conceptual Representation Learning 12. Automated Planning and Scheduling 13. AI and the Internet of Things (IoT) 14. Optimizing Blockchains with AI 15. Cognitive NLP Chatbots 16. Improve the Emotional Intelligence Deficiencies of Chatbots 17. Quantum Computers That Think 18. Answers to the Questions

Sentiment analysis

RMB.py leaves the realm of RBMs and enters a tone analyzer phase using sentiment analysis to parse X's social networks.

The following code triggers the bot to ask you once again whether you agree (the mind-dataset-building bot) to parse X's social networks:

Press ENTER if you agree to learn more about X.
The AI program will now enter social networks
to scan X's social media profile.
First words(Tweets, posts, messages on Facebook and much more) will be analyzed then images
Press ENTER if you agree to scan X's social networking...

Parsing the datasets

For this to work, a bot has read through X's data. A bot can use big data map and retrieve functions that Google, Amazon, Facebook, LinkedIn...

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