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

Product type Paperback

Published in May 2018

Publisher Packt

ISBN-13 9781788990547

Length 490 pages

Edition 1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Artificial Intelligence

Author (1):

Denis Rothman

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Table of Contents (24) Chapters

Title Page

Dedication

Packt Upsell

Contributors

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

1. Answers to the Questions

Index

A cognitive chatbot service

You now have a chatbot running on IBM Watson or another platform. The architecture of an efficient chatbot requires restricting the perimeter of the functions to a minimum and getting it to work as quickly as possible.

With a solid foundation, the chatbot can now expand its limitless potential in the areas required. Services such as these can be added to a personal assistant, for example.

The case study

A bus of English-speaking tourists is traveling through France. Somewhere in the countryside, on a small road, the bus breaks down. A tourist will use a personal assistant with inbuilt functions to communicate with a police chatbot.

Nobody speaks French. One of the tourists has a tablet and an internet connection. It also has a personal assistant on it. It could be Google Assistant, Siri, Bixby, Alexa, Cortana, or any other.

For our purpose, let's assume it's Google Assistant and say we built a backend with Google Translate, with the API described in Chapter 8, Revolutions...