Practical artificial intelligence and blockchain

Bibliographische Detailangaben

Titel
Practical artificial intelligence and blockchain
verantwortlich
Kumble, Ganesh Prasad (VerfasserIn); Krishnan, Anantha (VerfasserIn eines Vorworts)
Ausgabe
1st edition
veröffentlicht
Birmingham: Packt, 2020
Boston, MA: Safari
Erscheinungsjahr
2020
Erscheint auch als
Kumble, Ganesh Prasad, Practical artificial intelligence and blockchain, Birmingham : Packt, 2020, viii, 273 Seiten
Andere Ausgaben
Practical artificial intelligence and blockchain: a guide to converging blockchain and AI to build smart applications for new economies
Medientyp
E-Book
Datenquelle
K10plus Verbundkatalog
Tags
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Zusammenfassung
Learn how to use AI and blockchain to build decentralized intelligent applications (DIApps) that overcome real-world challenges Key Features 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 Book 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. 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 Who this book is 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 y...
Umfang
1 online resource (viii, 273 Seiten)
Medientyp
Mode of access: World Wide Web.
Sprache
Englisch
Schlagworte
BK-Notation
54.72 Künstliche Intelligenz
54.61 Datenverarbeitungsmanagement
ISBN
9781838822293