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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 FREE CHAPTER
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

Building a smart contract machine learning marketplace

Our ML marketplace will work with linear regression algorithms exclusively to simplify the process so that you understand how it all ties together. I encourage you to expand the solution for more advanced models to practice your ML and blockchain skills. To apply a simple linear regression algorithm, we need the following things:

  • A prediction function to generate a prediction from data
  • A cost function to combine the prediction results
  • An optimization algorithm to train our algorithm with gradient descent, which will fine tune the predictions for more precise results
  • A train function to improve our algorithm

The prediction function

First, you need to understand that...

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