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Mastering Ethereum

You're reading from  Mastering Ethereum

Product type Book
Published in Apr 2019
Publisher Packt
ISBN-13 9781789531374
Pages 490 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Merunas Grincalaitis Merunas Grincalaitis
Profile icon Merunas Grincalaitis

Table of Contents (17) Chapters

Preface 1. Section 1: Blockchain - Ethereum Refresher
2. Blockchain Architecture 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

Decentralized machine learning marketplaces

We are going to build a marketplace to buy and sell computing power from users that have strong GPUs and want to help others perform machine learning to teach their algorithms to complete a task based on supervised learning, where a program learns to generate a desired output from a large quantity of input given a goal so that it programs itself.

Ethereum comes into the equation when we need to deal with storing permanent records of the transactions that took place in our ML marketplace along with the trained model that the buyer requested from their parameters so that it's accessible anytime. The idea is to create a place where people from all around the world can start earning money from a new use of their hardware as an alternative to mining, while also providing a secure system for ML algorithms.

We will use GPUs to train our...

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