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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

Chapter 14. Optimizing Blockchains with AI

IBM was founded in 1911, making it the most experienced company today in its field. Google, Amazon, and Microsoft also offer history-making machine learning platforms. However, IBM offers machine learning platforms with its valuable 100+ years of experience.

Some of IBM's 100+ years in the computer and software market were bumpy. Some terrible decisions cost the company a lot of problems across the world. IBM learned from those mistakes and now offers robust solutions:

IBM Hyperledger for blockchain solutions (this chapter)
IBM Watson for artificial intelligence applications, including chatbots (see Chapter 15, Cognitive NLP Chatbots, and Chapter 16, Improve the Emotional Intelligence Deficiencies of Chatbots)
IBM quantum computing (seeChapter 17,Quantum Computers That Think)

This chapter offers an overview of what blockchains mean for companies around the world, introduces naive Bayes, and explains where it could fit in a CRLMM.

Mining cryptocurrency...