Electronic catalog

DDC 006.3/12
L 31

    Large-scale data streaming, processing, and blockchain security / / Hemraj Saini, Geetanjali Rathee, Dinesh Kumar Saini. - Hershey, PA : : Information Science Reference, an imprint of IGI Global,, [2021]. - 1 online resource (xxxi, 285 pages) : : il. - (Advances in information security, privacy, and ethics (AISPE) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/F348AE47-311D-4D45-8F2E-01E3D8822A94. - ISBN 1799834468 (electronic book). - ISBN 9781799834465 (electronic bk.)
"Premier Reference Source" -- taken from front cover. Description based on online resource; title from digital title page (viewed on September 08, 2020).
Параллельные издания: Print version: : Large-scale data streaming, processing, and blockchain security. - Hershey, PA : Information Science Reference, an imprint of IGI Global, [2020]. - ISBN 9781799834441
    Содержание:
Section 1. Chapter 1. A study of big data processing for sentiments analysis ; Chapter 2. An insight on the class imbalance problem and its solutions in big data ; Chapter 3. Large-scale data streaming in fog computing and its applications ; Chapter 4. Trust and reliability management in large-scale cloud computing environments -- Section 2. Chapter 5. Large-scale data storage scheme in blockchain ledger using IPFS and NoSQL ; Chapter 6. Application of deep learning in biological big data analysis ; Chapter 7. Building better India: powered by blockchain ; Chapter 8. Blockchain-based digital rights management techniques ; Chapter 9. Understanding blockchain: case studies in different domains ; Chapter 10. Integrating blockchain and IoT in supply chain management: a framework for transparency and traceability ; Chapter 11. Electronic voting application powered by blockchain technology.

Large-scale data streaming, processing, and blockchain security / [Электронный ресурс] / Hemraj Saini, Geetanjali Rathee, Dinesh Kumar Saini., [2021]. - 1 online resource (xxxi, 285 pages) : с. (Введено оглавление)

DDC 005.824
M 93
Mukhopadhyay, Mayukh.
    Ethereum Smart Contract Development : : Build blockchain-based decentralized applications using solidity. / Mayukh. Mukhopadhyay. - 1788473040. - Birmingham : : Packt Publishing,, 2018. - 1 online resource (278 pages) ( час. мин.), 1788473040. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/6D3E0263-E817-42DC-9CAC-2DE7124FE8EC. - ISBN 9781788472623 (electronic bk.). - ISBN 1788472624 (electronic bk.). - ISBN 1788473043. - ISBN 9781788473040
Accounts. Print version record.
Параллельные издания: Print version: : Mukhopadhyay, Mayukh. Ethereum Smart Contract Development : Build blockchain-based decentralized applications using solidity. - Birmingham : Packt Publishing, ©2018
    Содержание:
Cover; Copyright and Credits; Dedication; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Blockchain Basics; Understanding distributed systems; The Byzantine Generals' Problem; Losing strategy; Winning strategy; The CAP theorem; Consensus in distributed systems; Understanding the hash function and the Merkle tree; Understanding a blockchainâ#x80;#x93;a developer and trader's perspective; Inside a block; Blockchain mining and forking; Blockchains â#x80;#x93; evolution, generations, and hype; Summary; Chapter 2: Grokking Ethereum; Understanding Ethereum; The notion of decentralization.
The Ethereum ecosystemMist; Decentralized applications; Middleware; Swarm; Whisper; EVM; Hardware clients and internet; Turing completeness and the magic sauce; Ethereum block, mining, and forking; The Ethereum wallet and client interface; Summary; Chapter 3: Hello World of Smart Contracts; A smart contract in seven lines of code; Remix in a nutshell; Increment and decrement operations using Solidity; Coding a loop; Raising an issue on GitHub; Smart contract on a private blockchain; Writing the genesis block; Building a private blockchain; Connecting MIST browser using geth.
Mining ethers in a private blockchainDeploying smart contracts on our private chain; Summary; Chapter 4: A Noob's Guide to DApps and DAO; Understanding DApps; Steps to develop a DApp; Architecture of a DApp; What is ethercast?; btcrelay.org; oraclize.it; the-pitts-circus.com; Understanding the design of DAO; The rise and fall of DAO; Summary; Chapter 5: Deep-Diving into Smart Contracts; What makes a contract ""smart""?; Definition and design; Role of code in a smart contract; Basic anatomy of a smart contract design; Smart contract optimization; Smart contract auditing and compliance.
Designing a voting DAppSummary; Chapter 6: Solidity in Depth; Need for solidity; Nuances, syntax, and features of solidity; Pragma, import, and comments; Class properties of a contract; Functions; Events; Inheritance; Libraries; Expression and control structures; Units and variables; Optimizer and debugging options; Parity hack demystified; Summary; Chapter 7: Primer on Web3.js; Web3.js in the Ethereum ecosystem; Running a smart contract using Web3.js; API structure of Web3.js; Designing an ownership contract; Summary; Chapter 8: Developing a Cryptocurrency from Scratch; Token versus coin.
ERC20 token development using TruffleArbitrage trading for cryptocurrencies; The ICO story; Fiat2Crypto and Crypto2Crypto exchange; Parity hack returns; Summary; Chapter 9: Enterprise Use Cases; Banking and payments; Insurance; Supply chain management; Forecasting and prediction market; Charity; Public benefits; Energy management; Art and music; Retail; Real estate; Cyber security; Crowdfunding; Networking and the Internet of Things; Voting; Government; Private transport and ride sharing; Cloud storage; Healthcare; Smart contract use cases; Insurance; Trade finance; Derivatives; Securities.

Mukhopadhyay, Mayukh. Ethereum Smart Contract Development : [Электронный ресурс] : Build blockchain-based decentralized applications using solidity. / Mayukh. Mukhopadhyay, 2018. - 1 online resource (278 pages) с. (Введено оглавление)

DDC 330.122
M 96
Murphy, Ryan H.
    Markets against Modernity : : Ecological Irrationality, Public and Private. / Ryan H. Murphy. - Lanham : : Lexington Books,, 2019. - 1 online resource (231 pages). - (Capitalist Thought: Studies in Philosophy, Politics, and Economics). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/FD981738-82E5-41B3-8A6D-38FFCF64E8C8. - ISBN 1498591191. - ISBN 9781498591195 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Murphy, Ryan H. Markets against Modernity : Ecological Irrationality, Public and Private. - Lanham : Lexington Books, ©2019. - ISBN 9781498591188
    Содержание:
"line-height:2;"Chapter 1, Trade Is Good ; ; "line-height:2;"Chapter 2, Extreme Voter Stupidity ; ; "line-height:2;"Chapter 3, The Obvious and Simple System of "font-style:italic;"Unnatural Liberty ; ; "line-height:2;"Chapter 4, Ecological Irrationality in the Wild ; ; "line-height:2;"Chapter 5, Bohemian Status-archy ; ; "line-height:2;"Chapter 6, Anarchy, State, and Dystopia, ; ; "line-height:2;"Chapter 7, Too Much Social Capital ; ; "line-height:2;"Chapter 8, The Poverty of DIYism ; ; "line-height:2;"Chapter 9, Social Luddism ; ; "line-height:2;"Chapter 10, Whither Expertise?

Murphy, Ryan H. Markets against Modernity : [Электронный ресурс] : Ecological Irrationality, Public and Private. / Ryan H. Murphy, 2019. - 1 online resource (231 pages) с. (Введено оглавление)

DDC 006.35
K 22
Kasliwal, Nirant.
    Natural Language Processing with Python Quick Start Guide : : Going from a Python Developer to an Effective Natural Language Processing Engineer. / Nirant. Kasliwal. - Birmingham : : Packt Publishing Ltd,, 2018. - 1 online resource (177 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/97A93777-D902-4206-BF79-465256E2AB5F. - ISBN 1788994108. - ISBN 9781788994101 (electronic bk.)
Weighted classifiers. Print version record.
Параллельные издания: Print version: : Kasliwal, Nirant. Natural Language Processing with Python Quick Start Guide : Going from a Python Developer to an Effective Natural Language Processing Engineer. - Birmingham : Packt Publishing Ltd, ©2018. - ISBN 9781789130386
    Содержание:
Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Getting Started with Text Classification; What is NLP?; Why learn about NLP?; You have a problem in mind; Technical achievement; Do something new; Is this book for you?; NLP workflow template; Understanding the problem; Understanding and preparing the data; Quick wins -- proof of concept; Iterating and improving; Algorithms; Pre-processing; Evaluation and deployment; Evaluation; Deployment; Example -- text classification workflow; Launchpad -- programming environment setup
Text classification in 30 lines of codeGetting the data; Text to numbers; Machine learning; Summary; Chapter 2: Tidying your Text; Bread and butter -- most common tasks; Loading the data; Exploring the loaded data; Tokenization; Intuitive -- split by whitespace; The hack -- splitting by word extraction; Introducing Regexes; spaCy for tokenization; How does the spaCy tokenizer work?; Sentence tokenization; Stop words removal and case change; Stemming and lemmatization; spaCy for lemmatization; -PRON-; Case-insensitive; Conversion -- meeting to meet; spaCy compared with NLTK and CoreNLP
Correcting spellingFuzzyWuzzy; Jellyfish; Phonetic word similarity; What is a phonetic encoding?; Runtime complexity; Cleaning a corpus with FlashText; Summary; Chapter 3: Leveraging Linguistics; Linguistics and NLP; Getting started; Introducing textacy; Redacting names with named entity recognition; Entity types; Automatic question generation; Part-of-speech tagging; Creating a ruleset; Question and answer generation using dependency parsing; Visualizing the relationship; Introducing textacy; Leveling up -- question and answer; Putting it together and the end; Summary
Chapter 4: Text Representations -- Words to NumbersVectorizing a specific dataset; Word representations; How do we use pre-trained embeddings?; KeyedVectors API; What is missing in both word2vec and GloVe?; How do we handle Out Of Vocabulary words?; Getting the dataset; Training fastText embedddings; Training word2vec embeddings; fastText versus word2vec; Document embedding; Understanding the doc2vec API; Negative sampling; Hierarchical softmax; Data exploration and model evaluation; Summary; Chapter 5: Modern Methods for Classification; Machine learning for text
Sentiment analysis as text classification Simple classifiers; Optimizing simple classifiers; Ensemble methods; Getting the data; Reading data; Simple classifiers; Logistic regression; Removing stop words; Increasing ngram range; Multinomial Naive Bayes; Adding TF-IDF; Removing stop words; Changing fit prior to false; Support vector machines; Decision trees; Random forest classifier; Extra trees classifier; Optimizing our classifiers; Parameter tuning using RandomizedSearch; GridSearch; Ensembling models; Voting ensembles -- Simple majority (aka hard voting); Voting ensembles -- soft voting

Kasliwal, Nirant. Natural Language Processing with Python Quick Start Guide : [Электронный ресурс] : Going from a Python Developer to an Effective Natural Language Processing Engineer. / Nirant. Kasliwal, 2018. - 1 online resource (177 pages) с. (Введено оглавление)