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  • Добавил: bhaer
  • Дата: 10-01-2019, 21:41
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Название: Java XML and JSON: Document Processing for Java SE, 2nd Edition
Автор: Jeff Friesen
Издательство: Apress
Год: 2019
Страниц: 528
Формат: PDF, EPUB
Размер: 10 Mb
Язык: English

Use this guide to master the XML metalanguage and JSON data format along with significant Java APIs for parsing and creating XML and JSON documents from the Java language. New in this edition is coverage of Jackson (a JSON processor for Java) and Oracle’s own Java API for JSON processing (JSON-P), which is a JSON processing API for Java EE that also can be used with Java SE. This new edition of Java XML and JSON also expands coverage of DOM and XSLT to include additional API content and useful examples.
  • Добавил: harun54
  • Дата: 10-01-2019, 21:02
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Название: Cryptography and Network Security: Principles and Practice, International Edition, 6 edition
Автор: William Stallings
Издательство: Pearson
Год: 2014
Формат: PDF
Размер: 12 Мб
Язык: английский / English

In this age of universal electronic connectivity, viruses and hackers, electronic eavesdropping, and electronic fraud, security is paramount. This text provides a practical survey of both the principles and practice of cryptography and network security. First, the basic issues to be addressed by a network security capability are explored through a tutorial and survey of cryptography and network security technology.
  • Добавил: literator
  • Дата: 10-01-2019, 20:22
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Название: Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Автор: Umberto Michelucci
Издательство: Apress
ISBN: 1484237897
Год: 2018
Страниц: 425
Язык: английский
Формат: pdf (true), epub
Размер: 30.0 MB

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and Swish), seeing how to perform linear and logistic regression using TensorFlow, and choosing the right cost function.
  • Добавил: literator
  • Дата: 10-01-2019, 20:19
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Название: Beyond Artificial Intelligence: From Human Consciousness to Artificial Consciousness
Автор: Alain Cardon
Издательство: Wiley-ISTE
ISBN: 1786303590
Год: 2018
Страниц: 232
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB

Artificial intelligence is concerned with the development of computer systems that simulate human reasoning when they are applied to the domain of rational knowledge. More specific subdomains are structured by ontologies, which enable the development of systems that use this knowledge with great subtlety when questions are posed to them. This book will present a complete modeling of the human psychic system that allows to generate the thoughts in a strictly organizational approach that mixes a rising and falling approach. The model will present the architecture of the psychic system that can generate sensations and thoughts, showing how one can feel thoughts. The model developed into an organizational architecture based on massive multiagent systems. The architecture will be fully developed, showing how an artificial system can be endowed with consciousness and intentionally generate thoughts and, especially, feel them.
  • Добавил: literator
  • Дата: 10-01-2019, 19:33
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Название: Computational Actuarial Science with R
Автор: Arthur Charpentier
Издательство: Chapman and Hall/CRC
Серия: The R Series
ISBN: 1466592591
Год: 2014
Страниц: 656
Язык: английский
Формат: pdf (true)
Размер: 15.0 MB

A Hands-On Approach to Understanding and Using Actuarial Models. Computational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/C++ embedded codes. R includes a wide range of standard statistical functions and contributed packages that extend the range of routine functions, including graphical methods. And once we get used to it, R is an easy and intuitive programming language. In the statistical literature, new methods are often accompanied by implementation in R, so that R became a sort of "lingua franca" in the statistical community (including connected areas, from social science to finance, and actuarial science).
  • Добавил: literator
  • Дата: 10-01-2019, 19:24
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Название: .Net Knowledge Book: Web Development with Asp.Net MVC, Azure and Entity Framework (Volume 4)
Автор: Patrick Desjardins
Издательство: Depot legal - Bibliotheque et Archives national du Quebec
Серия: .Net Knowledge Book
ISBN: 2981311042
Год: 2017
Страниц: 278
Язык: английский
Формат: epub, pdf (conv)
Размер: 28.1 MB

.Net Knowledge book This book is a melting pot of several articles about Asp.Net MVC, Azure, Entity Framework, javascript, CSS, C# and SQL. They are scenarios that happen in the everyday work of developers who use these technologies. They are divided into short articles that are easy to understand. This book is ideal for anyone with intermediate to advanced knowledge of Microsoft web stack who wants to learn more about how to deal with practical cases. This book includes articles written during 2016. It is volume 4 of a series of books that focus on real software developing problems. I strongly believe that the content of this book is a must for anyone who works with Microsoft Asp.Net in enterprise.
  • Добавил: bhaer
  • Дата: 10-01-2019, 15:58
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Название: SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics
Автор: Daniel J. Denis
Издательство: Wiley
Год: 2019
Страниц: 288
Формат: PDF, EPUB
Размер: 58 Mb
Язык: English

Enables readers to start doing actual data analysis fast for a truly hands-on learning experience
This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences. The book places great emphasis on both data analysis and drawing conclusions from empirical observations. It also provides formulas where needed in many places, while always remaining focused on concepts rather than mathematical abstraction.
  • Добавил: Ice Zero
  • Дата: 10-01-2019, 15:54
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Название: Beginning jQuery
Автор: Jack Franklin
Издательство: Apress
Год: 2013
Формат: PDF
Страниц: 204
Для сайта: vtome.ru
Размер: 3 Mb
Язык: English

Beginning jQuery is your step-by-step guide to learning the jQuery library. jQuery is the most popular jаvascript library in the web developer’s toolkit. Jack Franklin takes you from the basics of getting you started with jQuery, right through to extending jQuery by writing your own plug-ins. You'll discover best practices you can follow, how you can avoid common mistakes, and you'll learn about so many of the things that jQuery has to offer, including how you can:
  • Добавил: Ice Zero
  • Дата: 10-01-2019, 15:48
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Название: Beginning jQuery 2 for ASP.NET Developers
Автор: Bipin Joshi
Издательство: Apress
Год: 2013
Формат: PDF
Страниц: 336
Для сайта: vtome.ru
Размер: 8 Mb
Язык: English

jQuery is the most popular jаvascript library in use today, appearing on nearly two thirds of the 10,000 most visited sites on the web. With this sort of popularity, it’s clear that ASP.NET developers can’t afford to miss out.By combining jQuery with ASP.NET you get the best of both worlds: the client-side interactivity and responsiveness of jаvascript with the robustness and extensibility of Microsoft's web stack. Beginning jQuery 2 for ASP.NET Developers shows you how.
  • Добавил: bhaer
  • Дата: 10-01-2019, 12:11
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Название: Large Scale Data Analytics (Studies in Computational Intelligence)
Автор: Chung Yik Cho
Издательство: Springer
Год: 2019
Страниц: 89
Формат: PDF, EPUB
Размер: 23 Mb
Язык: English

This book presents a language integrated query framework for big data. The continuous, rapid growth of data information to volumes of up to terabytes (1,024 gigabytes) or petabytes (1,048,576 gigabytes) means that the need for a system to manage and query information from large scale data sources is becoming more urgent. Currently available frameworks and methodologies are limited in terms of efficiency and querying compatibility between data sources due to the differences in information storage structures.