Learn Ethereum The Collection
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Learn Ethereum The Collection
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Author : Bruno Skvorc
language : en
Publisher: SitePoint Pty Ltd
Release Date : 2018-08-16
Learn Ethereum The Collection written by Bruno Skvorc and has been published by SitePoint Pty Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-16 with Computers categories.
Blockchain technology has certainly been hyped over the past few years, but when you strip all of that away, what can actually do with it? This book provides you with an introduction to Ethereum, an open source platform that's based based on blockchain. It enables developers to build and deploy decentralized applications that can be relied on to work without fraud, censorship or interference from third parties. Far more than just a cryptocurrency or smart contracts platform, Ethereum is becoming an entire ecosystem for building decentralized applications. This collection contains three books: A Developer's Guide to Ethereum, a collection of articles that provides an introduction to blockchain technology more broadly before focusing on the Ethereum platform specifically Ethereum: Tools & Skills, a collection of articles examining some of the most popular Ethereum tools, and walk you through how to use them when building your own Ethereum-based apps. Build Your First Ethereum DApp, a complete project tutorial that will walk you through the creation of a complete distributed application (DApp) based on the Ethereum platform. This collection is for anyone interested in using the Ethereum platform for development. No prior knowledge of blockchain is assumed.
Learn Ethereum
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Author : Xun (Brian) Wu
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-08-31
Learn Ethereum written by Xun (Brian) Wu and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-31 with Computers categories.
Explore the beacon chain, Ethereum's PoS consensus, and the upcoming merge of Eth1 and Eth2, along with the challenges of scaling Ethereum, and an overview of L1 and L2 scaling solutions Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn new development with Ethereum 2.0 and the planned merge of Eth1 and Eth2 Build, develop, and test end-to-end Ethereum dApps using Solidity, Node.js, and Web3 Setup private blockchains with Ethereum and delve into its wallets system Book DescriptionEthereum is a blockchain-based, decentralized computing platform that allows you to run smart contracts. With this book, you’ll discover the latest Ethereum tools, frameworks, wallets, and layer 2, along with setting up and running decentralized applications for the complete, end-to-end development experience. Learn Ethereum, 2nd Edition is a comprehensive overview of the Ethereum ecosystem, exploring its concepts, mechanisms, and decentralized application development process. You’ll delve into Ethereum's internals, technologies, and tools, including Ethereum 2.0 and the Ethereum Virtual Machine (EVM), gas, and its account systems. You’ll also explore Ethereum's transition to proof of stake, L1/L2 scaling solutions, DeFi protocols, and the current marketplace. Additionally, you’ll learn about EVM-compatible blockchains, connectivity techniques, and advanced topics such as sharding, off-chain scaling, DAOs, Metaverse, and NFTs. By the end of this book, you’ll be well-equipped to write smart contracts and develop, test, and deploy DApps using various tools, wallets, and frameworks.What you will learn Understand blockchain, cryptocurrency, and architectures Explore decentralized finance protocols Grasp how EVM-compatible blockchain networks work Discover the latest developments in Ethereum Use Solidity and Web3 API fundamentals on blockchain frameworks Develop your own personalized cryptocurrency Build tailor-made smart contracts and NFT marketplace DApps Set up an Ethereum private chain Who this book is forThis book is for blockchain developers and architects looking to learn the Ethereum blockchain fundamentals and those who want to build real-world decentralized applications using Solidity. Basic knowledge of an object-oriented programming language such as JavaScript will be useful but not mandatory.
Cyber Security Cryptography And Machine Learning
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Author : Shlomi Dolev
language : en
Publisher: Springer Nature
Release Date : 2020-06-25
Cyber Security Cryptography And Machine Learning written by Shlomi Dolev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-25 with Computers categories.
This book constitutes the refereed proceedings of the Fourth International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2020, held in Be'er Sheva, Israel, in July 2020. The 12 full and 4 short papers presented in this volume were carefully reviewed and selected from 38 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas.
The International Conference On Deep Learning Big Data And Blockchain Dbb 2022
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Author : Irfan Awan
language : en
Publisher: Springer Nature
Release Date : 2022-08-31
The International Conference On Deep Learning Big Data And Blockchain Dbb 2022 written by Irfan Awan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-31 with Technology & Engineering categories.
Deep and machine learning is the state-of-the-art at providing models, methods, tools and techniques for developing autonomous and intelligent systems which can revolutionise industrial and commercial applications in various fields such as online commerce, intelligent transportation, healthcare and medicine, etc. The ground-breaking technology of blockchain also enables decentralisation, immutability, and transparency of data and applications. This event aims to enable synergy between these areas and provide a leading forum for researchers, developers, practitioners, and professionals from public sectors and industries to meet and share the latest solutions and ideas in solving cutting-edge problems in the modern information society and the economy. The conference focuses on specific challenges in deep (and machine) learning, big data and blockchain. Some of the key topics of interest include (but are not limited to): Deep/Machine learning based models Statistical models and learning Data analysis, insights and hidden pattern Data visualisation Security threat detection Data classification and clustering Blockchain security and trust Blockchain data management
Blockchain And Trustworthy Systems
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Author : Hong-Ning Dai
language : en
Publisher: Springer Nature
Release Date : 2021-12-02
Blockchain And Trustworthy Systems written by Hong-Ning Dai and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-02 with Computers categories.
This book constitutes the thoroughly refereed post conference papers of the Third International Conference on Blockchain and Trustworthy Systems, Blocksys 2021, held in Guangzhou, China, in August 2021.*The 38 full papers and the 12 short papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections: Contents Blockchain and Data Mining; Performance Optimization of Blockchain; Blockchain Security and Privacy; Theories and Algorithms for Blockchain; Blockchain and Internet of Things; Blockchain and Smart Contracts; Blockchain Services and Applications; Trustworthy System Development.*
Deep Learning Applications In Computer Vision Signals And Networks
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Author : Qi Xuan
language : en
Publisher: World Scientific
Release Date : 2023-03-21
Deep Learning Applications In Computer Vision Signals And Networks written by Qi Xuan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Computers categories.
This book proposes various deep learning models featuring how deep learning algorithms have been applied and used in real-life settings. The complexity of real-world scenarios and constraints imposed by the environment, together with budgetary and resource limitations, have posed great challenges to engineers and developers alike, to come up with solutions to meet these demands. This book presents case studies undertaken by its contributors to overcome these problems. These studies can be used as references for designers when applying deep learning in solving real-world problems in the areas of vision, signals, and networks.The contents of this book are divided into three parts. In the first part, AI vision applications in plant disease diagnostics, PM2.5 concentration estimation, surface defect detection, and ship plate identification, are featured. The second part introduces deep learning applications in signal processing; such as time series classification, broad-learning based signal modulation recognition, and graph neural network (GNN) based modulation recognition. Finally, the last section of the book reports on graph embedding applications and GNN in AI for networks; such as an end-to-end graph embedding method for dispute detection, an autonomous System-GNN architecture to infer the relationship between Apache software, a Ponzi scheme detection framework to identify and detect Ponzi schemes, and a GNN application to predict molecular biological activities.
Advancing Vlsi Through Machine Learning
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Author : Abhishek Narayan Tripathi
language : en
Publisher: CRC Press
Release Date : 2025-03-31
Advancing Vlsi Through Machine Learning written by Abhishek Narayan Tripathi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Technology & Engineering categories.
This book explores the synergy between very large-scale integration (VLSI) and machine learning (ML) and its applications across various domains. It investigates how ML techniques can enhance the design and testing of VLSI circuits, improve power efficiency, optimize layouts, and enable novel architectures. This book bridges the gap between VLSI and ML, showcasing the potential of this integration in creating innovative electronic systems, advancing computing capabilities, and paving the way for a new era of intelligent devices and technologies. Additionally, it covers how VLSI technologies can accelerate ML algorithms, enabling more efficient and powerful data processing and inference engines. It explores both hardware and software aspects, covering topics like hardware accelerators, custom hardware for specific ML tasks, and ML-driven optimization techniques for chip design and testing. This book will be helpful for academicians, researchers, postgraduate students, and those working in ML-driven VLSI.
Handbook Of Blockchain Digital Finance And Inclusion Volume 3
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Author : David Lee Kuo Chuen
language : en
Publisher: Academic Press
Release Date : 2025-04-25
Handbook Of Blockchain Digital Finance And Inclusion Volume 3 written by David Lee Kuo Chuen and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-25 with Business & Economics categories.
Handbook of Blockchain, Digital Finance, and Inclusion, Volume Three: Web3, AI, Privacy and Greentech presents the latest technological developments and innovations occurring in cryptocurrency. The book explores the hottest topics in this fast-moving area, emphasizing the financial opportunities made possible by cryptocurrencies, such as DePIN and decentralized finance while also presenting the theories and advances that have the potential to create additional opportunities in the convergence of blockchain with AI and privacy technology. Users will find this to be an important resource that bridges the gap between practical usability and academic perspective.This new volume continues the tradition of the first two, focusing on the latest trends, including Web3, Zero Knowledge Proof, Machine learning, Quantum Technologies, the Internet of Things in ESG, decentralized networks, digitalization, and more. It will serve as a valuable reference to an international audience that wants to learn not only about their own fields of specialization but also related fields. - Explains the practical consequences of these technologies and their economics to a broad spectrum of readers - Encompasses Web3, Zero Knowledge Proof, Machine learning, Quantum Technologies, the Internet of Things in ESG, decentralized networks, and digitalization - Provides sophisticated, in-depth summaries - Explains how blockchain technology provides greater efficiency and reduced cost for financial services
Electron Projects
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Author : Denys Vuika
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-11-29
Electron Projects written by Denys Vuika and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-29 with Computers categories.
A project-based guide to help you create, package, and deploy desktop applications on multiple platforms using modern JavaScript frameworks Key FeaturesUse your web development skills with JavaScript and Node.js to build desktop applications for macOS and WindowsDevelop desktop versions of popular mobile applications that are similar to Slack, Spotify, and moreDesign desktop apps with automatic updates and real-time analytics capabilitiesBook Description The Electron framework allows you to use modern web technologies to build applications that share the same code across all operating systems and platforms. This also helps designers to easily transition from the web to the desktop. Electron Projects guides you through building cross-platform Electron apps with modern web technologies and JavaScript frameworks such as Angular, React.js, and Vue.js. You’ll explore the process of configuring modern JavaScript frameworks and UI libraries, real-time analytics and automatic updates, and interactions with the operating system. You’ll get hands-on with building a basic Electron app, before moving on to implement a Markdown Editor. In addition to this, you’ll be able to experiment with major JavaScript frameworks such as Angular and Vue.js, discovering ways to integrate them with Electron apps for building cross-platform desktop apps. Later, you’ll learn to build a screenshot snipping tool, a mini-game, and a music player, while also gaining insights into analytics, bug tracking, and licensing. You’ll then get to grips with building a chat app, an eBook generator and finally a simple digital wallet app. By the end of this book, you’ll have experience in building a variety of projects and project templates that will help you to apply your knowledge when creating your own cross-platform applications. What you will learnInitialize Node.js, Node Package Manager (NPM), and JavaScript to set up your appIntegrate Phaser with Electron to build a simple 2D gameImprove app quality by adding an error tracking system and crash reportsImplement group chat features and event handling capabilities using FirebaseIntegrate a WordPress-like rich-text editor into your appBuild Electron applications using a single codebaseWho this book is for This book is for JavaScript developers who want to explore the Electron framework for building desktop apps. Working knowledge of modern frontend JavaScript frameworks and Node.js is assumed. No prior knowledge of desktop development is required.
Data Analytics And Machine Learning
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Author : Pushpa Singh
language : en
Publisher: Springer Nature
Release Date : 2024-03-19
Data Analytics And Machine Learning written by Pushpa Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-19 with Computers categories.
This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes. Through case studies, readers gain valuable insights and learn practical strategies for implementing data analytics, big data, and machine learning solutions in their own organizations. The book discusses the transformative power of data analytics and big data in various industries and sectors and how machine learning applications have revolutionized exploration by enabling advanced data analysis techniques for mapping, geospatial analysis, and environmental monitoring, enhancing our understanding of the world and its dynamic processes. This book explores how big data explosion, the power of analytics and machine learning revolution can bring new prospects and opportunities in the dynamic and data-rich landscape. It highlights the future research directions in data analytics, big data, and machine learning that explores the emerging trends, challenges, and opportunities in these fields by covering interdisciplinary approaches such as handling and analyzing real-time and streaming data.