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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

Applying the FNN XOR solution to a case study to optimize subsets of data

The case study described here is a real-life project. The environment and functions have been modified to respect confidentiality. But, the philosophy is the same one as that used and worked on.

We are 7.5 billion people breathing air on this planet. In 2050, there will be about 2.5 billion more. All of these people need to wear clothes and eat. Just those two activities involve classifying data into subsets for industrial purposes. Grouping is a core concept for any kind of production. Production relating to producing clothes and food requires grouping to optimize production costs. Imagine not grouping and delivering one t-shirt at a time from one continent to another instead of grouping t-shirts in a container and grouping many containers (not just two on a ship). Let's focus on clothing, for example...

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