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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

Questions

The answers to the questions are in Appendix B, with more explanations.
  1. Is reinforcement learning memoryless? (Yes | No)
  2. Does reinforcement learning use stochastic (random) functions? (Yes | No)
  3. Is MDP based on a rule base? (Yes | No)
  4. Is the Q function based on the MDP? (Yes | No)
  5. Is mathematics essential to artificial intelligence? (Yes | No)
  6. Can the Bellman-MDP process in this chapter apply to many problems? (Yes | No)
  7. Is it impossible for a machine learning program to create another program by itself? (Yes | No)
  8. Is a consultant required to enter business rules in a reinforcement learning program? (Yes | No)
  9. Is reinforcement learning supervised or unsupervised? (Supervised | Unsupervised)
  10. Can Q Learning run without a reward matrix? (Yes | No)
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