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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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Table of Contents (19) Chapters Close

Preface 1. Become an Adaptive Thinker FREE CHAPTER 2. Think like a Machine 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

Don't Get Lost in Techniques – Focus on Optimizing Your Solutions

No matter how much we know, the key point remains being able to deliver an artificial intelligence solution or not. Implementing a machine learning (ML) or deep learning (DL) program remains difficult and will become more complex as technology progresses at exponential rates. This will be shown in Chapter 15, Cognitive NLP Chatbots, on quantum computing, which may revolutionize computing with its mind-blowing concepts. There is no such thing as a simple or easy way to design AI systems. A system is either efficient or not, beyond being either easy or not. Either the designed AI solution provides real-life practical uses or it builds up into a program that fails to work in various environments beyond the scope of training sets.

This chapter doesn't deal with how to build the most difficult system...

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