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Key benefits

Understand the fundamental concepts for converging artificial intelligence and blockchain

Apply your learnings to build apps using machine learning with Ethereum, IPFS, and MoiBit

Get well-versed with the AI-blockchain ecosystem to develop your own DIApps

Description

AI and blockchain are two emerging technologies catalyzing the pace of enterprise innovation. With this book, you’ll understand both technologies and converge them to solve real-world challenges. This AI blockchain book is divided into three sections. The first section covers the fundamentals of blockchain, AI, and affiliated technologies, where you’ll learn to differentiate between the various implementations of blockchains and AI with the help of examples. The second section takes you through domain-specific applications of AI and blockchain. You’ll understand the basics of decentralized databases and file systems and connect the dots between AI and blockchain before exploring products and solutions that use them together. You’ll then discover applications of AI techniques in crypto trading. In the third section, you’ll be introduced to the DIApp design pattern and compare it with the DApp design pattern. The book also highlights unique aspects of SDLC (software development lifecycle) when building a DIApp, shows you how to implement a sample contact tracing application, and delves into the future of AI with blockchain. By the end of this book, you’ll have developed the skills you need to converge AI and blockchain technologies to build smart solutions using the DIApp design pattern.

Who is this book for?

This book is for blockchain and AI architects, developers, data scientists, data engineers, and evangelists who want to harness the power of artificial intelligence in blockchain applications. If you are looking for a blend of theoretical and practical use cases to understand how to implement smart cognitive insights into blockchain solutions, this book is what you need! Knowledge of machine learning and blockchain concepts is required.

What you will learn

Get well-versed in blockchain basics and AI methodologies

Understand the significance of data collection and cleaning in AI modeling

Discover the application of analytics in cryptocurrency trading

Get to grips with open, permissioned, and private blockchains

Explore the DIApp design pattern and its merit in digital solutions

Find out how LSTM and ARIMA can be applied in crypto trading

Use the DIApp design pattern to build a sample contact tracing application

Get started with building your own DIApps across various domains

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Blockchain Development for Finance Projects

€36.99

Practical Artificial Intelligence and Blockchain

€32.99

€67.99

Total € 137.97

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Edward L. Stull Apr 27, 2021

Addressing such large topics as artificial intelligence and blockchain at best is a very serious endeavor. Whereas blockchain after a decade plus of existence has developed a useful understanding within its marketplace, that is not at all true of artificial intelligence, better just AI. AI is now well beyond 6 decades of existence as a topic and yet remains in an evolving state with much debate and speculation worldwide, especially over ethical and scope issues. So given that the reader of this book may be either one-of or some combination of a professional scientist, a developer or simply someone wanting to learn, then yes, Ganesh Prasad Kumble’s Practical Artificial Intelligence and Blockchain book is both a good and useful read.Section 1 Blockchain and AI: Professionally from a reviewer’s perspective, it must be said that there are many more concepts necessary to embrace AI adequately. For example, consider knowledge representation and knowledge engineering let alone the rocket ride of new thought on perception, information, consciousness, and reality. Kumble has chosen to limit his writing to the more well-understood discoveries in the marketplace. It is appropriate that Kumble avoided dragging readers through tediously complicated, often experimental and controversial explanations of AI.Kumble provides in Section 2 an important review of Blockchain and AI from the perspective of the marketplace by relating these technologies to various implementations. After which he writes about more traditional information and communication technology (ICT) and how that influences the design of information system solutions. Then he concludes with how and why he asserts AI can empower blockchain and cryptocurrency.In Section 3, Kumble offers a detailed approach to a Decentralized Intelligent Application (DIApp). This is necessarily a very detailed and informative description so that a reader could use it to build a DIApp. As before, he forms a conclusion, this time for what the future holds for a DIApp approach.Those of us that want to be good engineers are compelled to discover implementable and expediate approaches to provide a sufficient service to one or more targeted marketplaces. In that respect, Kumble has provided a remarkably thorough detailing of an interesting application of AI to certain blockchain problems and did so in the context of known technology and the marketplace. Those readers with at least a years’ experience in building contemporary information systems including at least an introductory understanding of AI and blockchain, will find substantial interest and value in Kumble’s overviews and descriptive text.

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Practical Artificial Intelligence and Blockchain: A guide to converging blockchain and AI to build smart applications for new economies

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