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Название: Learning TensorFlow.js (Early Release)
Автор: Gant Laborde
Издательство: O’Reilly Media
Год: 2021-03-17: Third Release
Формат: ePUB
Размер: 41 Mb
Язык: English

Given the demand for AI and the ubiquity of jаvascript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde–Google Developer Expert in machine learningand the web–provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers.

Название: Data Visualization and Analysis in Second Language Research
Автор: Guilherme D. Garcia
Издательство: Routledgecover
Год: 2021
Формат: True PDF
Страниц: 286
Размер: 12.3 Mb
Язык: English

This introduction to visualization techniques and statistical models for second language research focuses on three types of data (continuous, binary, and scalar), helping readers to understand regression models fully and to apply them in their work. Garcia offers advanced coverage of Bayesian analysis, simulated data, exercises, implementable script code, and practical guidance on the latest R software packages.

Название: Designing Software Synthesizer Plugins in C++: With Audio DSP, 2nd Edition
Автор: Will C. Pirkle
Издательство: Focal Press
Год: 2021
Формат: PDF
Страниц: 304
Размер: 18 Mb
Язык: English

Designing Software Synthesizer Plugins in C++ provides everything you need to know to start designing and writing your own synthesizer plugins, including theory and practical examples for all of the major synthesizer building blocks, from LFOs and EGs to PCM samples and morphing wavetables, along with complete synthesizer example projects.

Название: Artificial Intelligence and Blockchain for Future Cybersecurity Applications
Автор: Yassine Maleh, Youssef Baddi
Издательство: Springer
Год: 2021
Страниц: 379
Язык: английский
Формат: pdf (true), epub
Размер: 42.0 MB

This book presents state-of-the-art research on Artificial Intelligence (AI) and blockchain for future cybersecurity applications. The accepted book chapters covered many themes, including Artificial Intelligence and blockchain challenges, models and applications, cyber threats and intrusions analysis and detection, and many other applications for smart cyber ecosystems. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on Artificial Intelligence and blockchain for future cybersecurity applications.

Название: C# 8 и .NET Core. Разработка и оптимизация.
Автор: Прайс Марк Дж.
Издательство: Питер
Год: 2021
Формат: PDF
Страниц: 816
Размер: 16,6 Mb
Язык: Русский

В издании рассмотрены все темы, связанные с разработкой на C#. В начале книги вы ознакомитесь с основами C#, в том числе с объектно-ориентированным программированием, а также с новыми возможностями C# 8.0. Несколько глав посвящено .NET Standard API, применяемым для запроса данных и управления ими, отслеживания производительности и ее повышения, работы с файловой системой, асинхронными потоками, сериализацией и шифрованием. Кроме того, на примерах кроссплатформенных приложений вы сможете собрать и развернуть собственные.

Название: Программируй & типизируй
Автор: Ришкуция Влад
Издательство: Питер
Год: 2021
Формат: PDF
Страниц: 352
Размер: 33,8 Mb
Язык: Русский

Причиной многих программных ошибок становится несоответствие типов данных. Сильная система типов позволяет избежать целого класса ошибок и обеспечить целостность данных в рамках всего приложения. Разработчик, научившись мастерски использовать типы в повседневной практике, будет создавать более качественный код, а также сэкономит время, которое потребовалось бы для выискивания каверзных ошибок, связанных с данными.

Название: Cloud Native Go
Автор: Matthew A. Titmus
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, EPUB
Страниц: 422
Размер: 10 Mb
Язык: English

What do Docker, Kubernetes, and Prometheus have in common? All of these cloud native technologies are written in the Go programming language. This practical book shows you how to use Go's strengths to develop cloud native services that are scalable and resilient, even in an unpredictable environment. You'll explore the composition and construction of these applications, from lower-level features of Go to mid-level design patterns to high-level architectural considerations.

Название: Game | World | Architectonics: Transdisciplinary Approaches on Structures and Mechanics, Levels and Spaces, Aesthetics and Perception
Автор: Marc Bonner
Издательство: Heidelberg University Publishing
Год: 2021
Формат: pdf
Страниц: 270
Размер: 10,3 МБ
Язык: English

This anthology comprises written versions as well as extended case studies of talks from the international two-day workshop “Architectonics of Game Worlds—On Aesthetics and Mechanics, Spaces and Places, Rhythms and Philosophies” at the University of Cologne in March 2019.

Название: Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools
Автор: Jozsef Dombi, Orsolya Csiszar
Издательство: Springer
Год: 2021
Страниц: 186
Язык: английский
Формат: pdf (true), epub
Размер: 28.5 MB

The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable – and even, in many cases, more efficient. Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and Deep Learning (DL) to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.

Название: Ripple-Down Rules: The Alternative to Machine Learning
Автор: Paul Compton, Byeong Ho Kang
Издательство: CRC Press
Год: 2021
Страниц: 196
Язык: английский
Формат: pdf (true)
Размер: 10.9 MB

Machine Learning algorithms hold extraordinary promise, but the reality is that their success depends entirely on the suitability of the data available. This book is about Ripple-Down Rules (RDR), an alternative manual technique for rapidly building AI systems. With a human in the loop, RDR is much better able to deal with the limitations of the data. Ripple-Down Rules: The Alternative to Machine Learning starts by reviewing the problems with data quality and the problems with conventional approaches to incorporating expert human knowledge into AI systems.