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Mastering Ethereum

You're reading from   Mastering Ethereum Implement advanced blockchain applications using Ethereum-supported tools, services, and protocols

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789531374
Length 490 pages
Edition 1st Edition
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Author (1):
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Merunas Grincalaitis Merunas Grincalaitis
Author Profile Icon Merunas Grincalaitis
Merunas Grincalaitis
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Blockchain - Ethereum Refresher
2. Blockchain Architecture FREE CHAPTER 3. Ethereum Ecosystems 4. Ethereum Assets 5. Section 2: Decentralized Application Development Workflow
6. Mastering Smart Contracts 7. Mastering dApps 8. Tools, Frameworks, Components, and Services 9. Deployment on Testnet 10. Various dApps Integrations 11. Decentralized Exchanges Workflow 12. Section 3: Ethereum Implementations
13. Machine Learning on the Ethereum Blockchain 14. Creating a Blockchain-based Social Media Platform 15. Creating a Blockchain-Based E-Commerce Marketplace 16. Other Books You May Enjoy

Machine Learning on the Ethereum Blockchain

Blockchain and AI have been the most interesting topics in recent years for a good reason: they are the most advanced technologies that have been created to disrupt most established businesses. The fact that we can teach a computer to learn by itself is something very powerful, and means that will continue evolving the machine learning systems of the future will continue to evolve. Likewise with blockchain: the field of distributed computing is just beginning, and it will be the default solution for most problems in the future. So why not combine both for a revolutionary invention? It turns out that they work nicely together, and we can create very interesting dApps that benefit from both worlds, particularly by using them to create decentralized marketplaces for solving machine learning problems that reward users for their computing...

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