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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Book Overview & Buying
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Table Of Contents
Mastering Ethereum
By :
Mastering Ethereum
By:
Overview of this book
Ethereum is one of the commonly used platforms for building blockchain applications. It's a decentralized platform for applications that can run exactly as programmed without being affected by fraud, censorship, or third-party interference.
This book will give you a deep understanding of how blockchain works so that you can discover the entire ecosystem, core components, and its implementations. You will get started by understanding how to configure and work with various Ethereum protocols for developing dApps. Next, you will learn to code and create powerful smart contracts that scale with Solidity and Vyper. You will then explore the building blocks of the dApps architecture, and gain insights on how to create your own dApp through a variety of real-world examples. The book will even guide you on how to deploy your dApps on multiple Ethereum instances with the required best practices and techniques. The next few chapters will delve into advanced topics such as, building advanced smart contracts and multi-page frontends using Ethereum blockchain. You will also focus on implementing machine learning techniques to build decentralized autonomous applications, in addition to covering several use cases across a variety of domains such as, social media and e-commerce.
By the end of this book, you will have the expertise you need to build decentralized autonomous applications confidently.
Table of Contents (17 chapters)
Preface
Blockchain Architecture
Ethereum Ecosystems
Ethereum Assets
Section 2: Decentralized Application Development Workflow
Mastering Smart Contracts
Mastering dApps
Tools, Frameworks, Components, and Services
Deployment on Testnet
Various dApps Integrations
Decentralized Exchanges Workflow
Section 3: Ethereum Implementations
Machine Learning on the Ethereum Blockchain
Creating a Blockchain-based Social Media Platform
Creating a Blockchain-Based E-Commerce Marketplace
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